The association between income inequality and adult mental health at the subnational level-a systematic review

Health-related social needs mitigate ethnoracial inequities in patient-reported mental health

PURPOSE

To characterize the relationship between ethnoracial identity, health-related social needs (HRSNs), and mental health (MH), and to examine the mediating role of HRSNs on the relationship between MH and ethnoracial identity.

METHODS

Data from 30,437 adults who were seeking care within Mass General Brigham integrated health system in United States and had completed PROMIS Global Health within three years of their most recent HRSNs screening between March 1, 2018 and January 31, 2023 were included. The presence and magnitude of PROMIS Global MH score differences for six ethnoracial groups (White non-Hispanic, White Hispanic, Black (Hispanic and non-Hispanic), Asian non-Hispanic, Other non-Hispanic and Other Hispanic (includes Asian Hispanic) was assessed. Regression-based mediation analyses were used to examine mediating role of four HRSNs (food insecurity, housing instability, transportation barriers and inability to pay for housing utilities) on relationship between ethnoracial identity and MH.

RESULTS

Compared to White Non-Hispanic patients, ethnoracial minorities had worse MH, after adjusting for age, sex, education, employment, marital status, comorbidities, and insurance type. This relationship remained statistically significant (p < 0.001) for White Hispanic, Asian non-Hispanic and Other non-Hispanic patients, where HRSNs mediated 57%, 88% and 70% of the relationship between ethnoracial identity and MH respectively. For Blacks and Other Hispanic patients, HRSNs fully mediated this relationship.

CONCLUSION

Disparities in MH may be driven by structural racism and experiences of racism that result in differentials in HRSNs, rather than ethnoracial identity. Efforts directed at measuring and addressing the HRSNs, in addition to structural factors are critical to achieving MH equity.

Economic Inequality and Mental Health: Causality, Mechanisms, and Interventions

Almost all countries in the world have witnessed a rapid increase in levels of economic inequality, a measure of the distribution of income and wealth across the population, since the advent of neoliberal economic policies in the 1970s. In this review, we conceptualize inequality as an ecological construct and discuss why it matters for the mental health of populations and for individual clinical outcomes. We then discuss some of the key mechanisms through which economic inequality influences mental health beyond poverty itself: social comparison and social capital. We also consider how the effect might vary across specific vulnerable groups in the population, such as young people and minoritized communities. Finally, we discuss methodological challenges in studying the relationship between inequality and mental health and conclude by outlining future research directions and possible interventions at the governmental, community, and individual levels to mitigate the negative mental health consequences of economic inequality.

Prevalence of anxiety disorders in Latin America: a systematic review and meta-analysis

Background

The prevalence of anxiety disorders among the adult population in Latin America (LATAM) and its association with development indicators is insufficiently characterised. We estimated pooled regional, country, and sex-specific prevalence rates of anxiety disorders in LATAM based on International Classification of Diseases (ICD) or Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria. Additionally, we examined the association between its prevalence and four country-level development indicators: Human Development Index (HDI), income inequality (Gini coefficient), Gender Inequality Index (GII), and Intentional Homicide Rate (IHR).

Methods

We conducted a systematic review and meta-analysis of population-based studies on the prevalence of ICD/DSM anxiety disorders in LATAM from 1990 to 2024, irrespective of language. We searched PubMed, PsycINFO, Cochrane Library, SciELO, LILACS, and grey literature. Study quality was assessed using JBI's critical appraisal tools. Pooled estimates were generated using random-effects meta-analysis, and heterogeneity was evaluated using the I-squared (I 2) statistic. Meta-regression analyses were performed to examine the ecological association between anxiety disorders prevalence and four development indicators. The study was registered with PROSPERO (CRD42020190238).

Findings

Using data from 36 studies in LATAM, we calculated the lifetime, 12-month, and current prevalence of ICD/DSM anxiety disorders at 14.55% (95% Confidence Interval 12.32%-17.11%; I 2 = 97.9%); 6.61% (5.20-8.37; I 2 = 98.1%), and 3.27% (2.34-4.56; I 2 = 97.5%), respectively. Heterogeneity was high across prevalence periods, sexes, and countries (all I 2 ≥ 91.4%), warranting caution in interpreting pooled estimates. Elevated 12-month and current prevalence rates of anxiety disorders were associated with higher Gini coefficients (p ≤ 0.0013). Additionally, higher current prevalence was associated with lower HDI (p = 0.0103) and higher GII (p = 0.0023), while elevated 12-month prevalence was associated with higher IHR (p = 0.011).

Interpretation

This study shows that approximately one in seven people in LATAM experience anxiety disorders at some point in their lives. These findings highlight the need to strengthen mental health systems in the region, and evidence the association between prevalence of anxiety disorders and development indicators. Our results can serve as a baseline for tracking anxiety disorders and for informed decision-making at the national and regional levels. The substantial heterogeneity between studies and the underrepresentation of some countries underscore the imperative for enhancing regional mental health capacities.

Funding

Pfizer Independent Medical Education Grant (69879319).

Mobilizing community health assets through intersectoral collaboration for social connection: Associations with social support and well-being in a nationwide population-based study in Catalonia

BACKGROUND

Limited social connection among older adults poses a global public health challenge, reducing sources of support and affecting health and well-being. National public health strategies that leverage local intersectoral collaboration between key sectors such as primary and social care, community organizations, and society, have been advocated, yet their impact remains underexplored.

OBJECTIVE

This study examines the regional variability in the uptake of a public health strategy in Catalonia that mobilizes community health assets, such as social clubs and leisure activities, through intersectoral collaboration and its associations with social support and mental well-being in older adults.

METHODS

We conducted a population-based cross-sectional study using the Catalan Health Survey (2017-2021) with 6011 adults aged ≥ 60 years across 31 Health Sectors. Survey data were linked with area-level uptake metrics, generated using data analytic techniques. Individuals were categorized into three uptake groups based on the number and territorial distribution of asset-based initiatives within their area of residence. Multilevel regressions tested associations with social support (OSSS-3) and mental well-being (SWEMWBS), controlling for individual, contextual, and temporal factors.

RESULTS

Participants' average age was 74.1 years ±  10.0 with 53.3% women. From 2017 to 2021, 2312 asset-based initiatives were registered across Health Sectors, ranging from 0 to 342 per sector. Residing in sectors with the highest uptake of initiatives (>15 initiatives per 10,000 population) was associated with higher social support (β = .34, p < .01) and mental well-being scores (β =  1.11, p < .01).

CONCLUSION

Residing in areas with greater health assets mobilized through intersectoral collaboration was associated with higher social support and well-being among older adults. This study represents one of the first national evaluations of an intersectoral strategy aimed at mitigating the mental health impacts of limited social networks. Future public health strategies should prioritize equitable access for inclusive benefits.

Examining the relationship between income and both mental and physical health among adults in the UK: Analysis of 12 waves (2009-2022) of Understanding Society

There is growing evidence of a causal relationship between income and health. At the same time, pressure on reactive health and care services in the UK is increasing. Previous work to quantify the relationship has focused on particular age groups, conditions, or single-item self-rated health. This article reports findings from a study that aimed to provide more comprehensive estimates with an objective of creating an evidential basis for microsimulation modelling of upstream income interventions. We analyse the relationship between income and two health measures - SF-12 Mental Component Summary (MCS-12) and Physical Component Summary (PCS-12) - across 12 waves (2009/11-2020/22) of Understanding Society: The UK Household Longitudinal Study. Using a 'within-between' model (Model 1), we find that increases in income compared with an individual's average and a higher income compared with the sample average is associated with better mental health (higher MCS-12 score) and better functional physical health (higher PCS-12 score). However, for a given increase in household income (say £100 per month), the association with better mental and physical health is smaller at higher incomes. This suggests that redistribution from high-income to lower income households would increase average population physical and mental health, other things being equal. Using a random-effects logistic regression (Model 2), we similarly find that average income quintile is inversely and monotonically associated with the probability of having clinically significant symptoms of depressive disorders (MCS-12 ≤ 45.6) and physical health problems (PCS-12 score ≤ 50.0), with smaller changes in these probabilities from increases in income at higher points in the income distribution. These findings facilitate microsimulation modelling including an estimation of the impact of changes in QALYs, from changes in income, enabling a more detailed and complete understanding of which socioeconomic interventions might begin to address some of the causes of long-term health conditions that are underpinned by socioeconomic determinants.

Deciphering the mechanism of women's mental health: a perspective of urban-rural differences

Background

Mental health accounts for a significant proportion of holistic health and affects women more significantly than men. Livelihood capital, defined as an indicator of these sources available for individuals or households to survive and develop, is a cost-effective field for ameliorating women's mental health. However, the impact of these multiple factors of livelihood capital on mental health still requires further research Therefore, this study evaluates women's mental health and investigates the correlation between livelihood capital (including human capital, physical capital, social capital, and financial capital) and women's mental health.

Methods

Based on the 2018 China Labor-force Dynamics Survey, this study explores the relationship and pathways between livelihood capital and women's mental health, with the structural equation model. It also aimed to examine the impact of relative deprivation under the influence of livelihood capital on women's mental health, focusing on urban-rural differences.

Results

The results of this study are as follows: (1) Human capital, social capital and physical capital were positively correlated with women's mental health, while financial capital showed a negative correlation; (2) Relative deprivation mediates the impact of livelihood capital on women's mental health; (3) The impact of livelihood capital on women's mental health is different between urban and rural regions. Urban women were more likely to be influenced by financial capital, whereas human capital, social capital and physical capital were key factors affecting rural women's mental health. (4) Relative deprivation mediates the impact of livelihood capital on mental health in the rural sample, but not in the urban sample.

Discussion

This study shows a complex relationship among livelihood capital, relative deprivation, and women's mental health, with notable urban-rural differences. In rural areas, human, social, and physical capital positively affect women's mental well-being. For example, better education reduces relative deprivation. Social support and improved housing also help. Conversely, financial capital has a negative link with mental health, more so in urban areas, likely due to urban pressure and the wealth-mental health relationship. Based on the findings, several actions are warranted. In social welfare, allocate more resources to rural areas for stronger women's livelihood capital. Public services should improve rural housing and community integration. Expand and enhance mental health education for rural women. These steps can ease rural women's mental health challenges and promote fairness in mental health outcomes.

Global Diversity in Bipolar Disorder: The Role of Cultural and Social Differences With a View to Genomics

As global gene discovery efforts move away from a historic Eurocentric focus and advance toward embracing more diverse populations, consideration of sociocultural aspects of bipolar disorder (BD) become critical to their success. Diversity can be leveraged to accelerate gene discovery, via different patterns of linkage disequilibrium that lead to greater resolution of mapping association signals, and convergence of genes and pathways implicated within and across diverse ancestral groups, improving our understanding of the molecular underpinnings of disease. However, it is not just the differences in linkage disequilibrium structure and allele frequency that drive differences in genomic signals between populations. In this review, we focus on the role of social, cultural, and societal factors on BD and their potential impact on disease prevalence, clinical course and outcome, and disease burden. Social, cultural, and geographical differences in expression of symptoms and frequency of clinical subtypes in BD present both opportunities for and challenges to the field. In this era of global multiancestry research, resources that facilitate the collection and harmonization of data from culturally and ancestrally diverse population groups will enhance our ability to gain true biological understanding. Such resources are essential to disambiguate the genetic and environmental components of disease risk, as well as inform effective lifestyle interventions to improve outcome for global citizens living with BD.

Economic inequality, intergenerational mobility, and life expectancy

This study explores the mediating role of intergenerational mobility (IM) in the relationship between economic inequality and population health in the United States, focusing on life expectancy. Using multilevel structural equation modeling across state and commuting zone (CZ) levels for both genders, we find that economic inequality indices, except for the top 1 percent's income share, adversely affect life expectancy through absolute and relative mobility. Specifically, economic inequality reduces life expectancy more significantly through absolute mobility, especially among males and lower-income groups, with nuanced impacts observed across different geographic levels. Relative mobility also plays a role, primarily affecting males in lower-income groups at the CZ level, showing disparities between genders and no effects on higher-income groups. Including certain covariates, particularly social capital and Black population share, renders previously statistically significant absolute mobility effects for females and relative mobility effects for males at the state level insignificant. The indirect effects of economic inequality on life expectancy through absolute mobility effects for males remain consistently significant across all covariate inclusions. Our study offers nuanced insights into how economic inequality affects life expectancy through IM, suggesting targeted interventions to mitigate disparities and improve public health.

Income inequality, trust, and depressive symptoms among Chinese adults (CFPS): A causal mediation analysis

OBJECTIVE

Income inequality has been linked to depressive disorders, but the pathways behind this impact are insufficiently understood. Hence, we aimed to investigate the impact of income inequality on depressive disorders and evaluate the extent to which this impact is mediated by trust.

METHODS

Two waves (2012 and 2018) of the China Family Panel Studies (CFPS) were included. Depressive symptoms were assessed using the 8-item Center for Epidemiologic Studies Depression scale (CESD8) and income inequality was measured using the Gini index calculated with household income. Based on the counterfactual framework, causal mediation analysis was applied with the difference-in-difference (DID) method. The sequential ignorability assumption, an important assumption for mediation analysis, was examined by propensity score matching (PSM) and simulation-based sensitivity analysis.

RESULTS

Compared to the control group (Change of Gini index ≤0), CESD8 scores in the treatment group (Change of Gini index >0) increase by 0.233 (95 % CI: 0.039, 0.430), which 10.1 % (95 % CI: 3.1 %, 46.0 %) was mediated by reductions in trusts at the provincial level. At the county level, income inequality influences depressive symptoms through the indirect path (β=0.008, 95%CI: 0.001, 0.020) instead of the direct path (β= - 0.146, 95%CI: -0.287, 0.000). Dividing the trust, the significant indirect effect appeared in the trust in neighbors, foreigners, government, and doctors at the provincial level.

LIMITATION

This study didn't deal with the impact of post-treatment confounders of the mediator-outcome relationship.

CONCLUSIONS

Severe income inequality directly and indirectly exacerbated depressive symptoms. Government should carry out the implementation of decreasing income inequality and improving trust.

Measurement of Dehumanization, Self-Dehumanization, and Empathy as Mediating Factors Among Healthcare Professionals

BACKGROUND

Dehumanization refers to the tendency of individuals or groups to attribute fewer human characteristics to other individuals or groups (referred to as hetero-dehumanization) or to themselves (referred to as self-dehumanization). This phenomenon currently seems to predominate in the medical and nursing professions. Indeed, healthcare environments facilitate latent forms of dehumanization due to their structure, organization, and inherent professional demands. This study aimed to investigate the association between hetero- or self-dehumanization and personality traits of healthcare professionals, as well as the possible key mediating role of empathy in this relationship.

METHODS

A total of 1150 healthcare employees were recruited for the current study with a mean age of 45.13 years. Data were collected through a questionnaire completed by health professionals.

RESULTS

Statistically significant relationships were found between self- and hetero-dehumanization and most personality traits (extraversion, agreeableness, conscientiousness). A mediation analysis revealed that empathy mediates the effects of personality traits on hetero- and self-dehumanization.

CONCLUSIONS

The present study addresses the vital role of personality traits of healthcare professionals on dehumanizing oneself or patients, offering insights into improving therapeutic relationships through the cultivation of empathy.

Impact of neighborhood income inequality on adolescents' mental health. Results from the STARS study

Over recent decades, there has been a simultaneous increase in income inequality and adverse mental health outcomes among adolescents in Western countries and especially in Sweden. Prior research on the relationship between income inequality and mental health has primarily focused on studies involving adults, yielding diverse findings regarding the nature of their association. Given the importance of relationships and comparisons to peers in immediate vicinity, we aimed to investigate the impact of neighborhood income inequality on mental health problems among seven-graders in Western Sweden. We used data collected in the STARS (STudy of Adolescence Resilience and Stress) cohort. A total of 1958 adolescents (mean age 13.6, SD = 0.4, 44% male) in 313 Demographic Statistics Areas (DeSO) were included. Adolescents answered questionnaires regarding stress and psychosomatic symptoms. Neighborhood income inequality was measured as DeSO-level's P90/P10 ratio, defined as the ratio between the 10th (highest) and the 1st (lowest) income decile. In a multilevel linear regression analysis, we found that higher neighborhood income inequality was related to lower stress and psychosomatic symptom scores after controlling for sex, individual parental income, and mean income and child poverty rate at DeSO-level. The associations did not differ significantly among DeSO-areas with different income or child poverty rates. Sex-specific-analysis revealed that the inverse association between income inequality and stress and psychosomatic symptoms was stronger in females than in males, but not significantly so. In summary, this study provided evidence supporting an association between higher neighborhood income inequality and reduced levels of seven-graders' stress and psychosomatic symptoms.

Gender Differences in Whether and How Perceived Inequality Hampers Self-Rated Health and Mental Health: Evidence from the Chinese General Social Survey and a Randomized Experiment in China

A substantial body of research has explored the relationship between inequality and health, yet little is known about the gender-specific effects and pathways through which inequality affects health outcomes. This study focuses on China, a country characterized by high income inequality and uneven health distribution across social groups. In Study 1, repeated nationally representative cross-sectional data from the Chinese General Social Survey is utilized (N = 3798 for 2017, N = 1578 for 2015, and N = 2827 for 2008), revealing that perceived inequality negatively affects self-rated health, particularly among women. The high level of perceived economic inequality substantially contributes to the gender health gap in China. Study 2 employs a randomized experiment (N = 3568) to show that perceived inequality affects the health of women and men differently, that is, social mobility framing accounts for the negative effect on women's mental well-being, whereas reducing status anxiety mainly benefits men's mental health. To advance research on economic inequality and health, this study investigates gender differences in whether and how perceived inequality affects health.

Critical appraisal of evidence supporting prescription of psychedelics from clinic websites in Ontario, Canada

Psychedelics, including ketamine, 3,4-Methyl enedioxy methamphetamine (MDMA), and psilocybin, have gained attention for their potential therapeutic role in mental health treatment. While recreational use is prohibited in Canada, medicinal exemptions can be granted. There are several psychedelic clinics in Ontario, Canada, promoting the use of psychedelics for a variety of medical indications. Our objective was to identify the indications for which psychedelics are being prescribed in Ontario clinics and assess the quality of evidence used to support these claims. Internet searches were conducted using Google and Bing to identify psychedelic clinics in Ontario. Inclusion criteria was as follow: clinics were physically located in Ontario, had a functioning website link, and demonstrated involvement of a licensed physician or nurse practitioner. Identified clinics were evaluated for their claims of effectiveness, the quality of evidence used to support these claims, and statements on psychedelic-related harms. The cited studies were appraised for quality using Oxford Centre for Evidence-Based Medicine Levels of Evidence, "level 5" being the lowest quality and "level 1" being the highest quality. Out of 200 search results, 10 psychedelic clinic websites met our inclusion criteria. These clinics advertised psychedelics for 47 medical conditions, most commonly for depression. Only 2 out of 10 clinics described potential risks associated with psychedelic use. There were 29 studies cited by these websites, majority coming from "level 4" evidence consisting of case-series and case-control studies. Overall, the cited evidence quality was low to moderate. Psychedelic clinics in Ontario promote a wide range of medical indications for psychedelics using primarily low to moderate "level 4" evidence. There is limited information shared on the potential adverse effects of psychedelics. Our study emphasizes the importance of using transparent and high-quality evidence by clinics and clinicians to ensure safe and effective use of psychedelics in mental health treatments.

What personal factors are associated with osteoporosis, fragility fracture, and osteopenia? A population-level analysis using the United Kingdom Biobank

PURPOSE

Osteopenia, osteoporosis, and fragility fractures pose a major public health concern. Population-level clinical and biopsychosocial data may uncover modifiable risk factors to target when developing whole person approaches to managing these conditions. The purpose of this study was to identify personal risk factors associated with osteoporosis, fragility fractures, and osteopenia from the United Kingdom Biobank (UKB) - a large population-level database.

METHODS

We performed a cross-sectional study using the UKB to evaluate the association between 39 systematically selected explanatory variables with a diagnosis of osteopenia, osteoporosis, or fragility fracture. Bivariate analysis was performed followed by multivariable logistic regression adjusting for multicollinearity using covariance testing.

RESULTS

Of 502,507 patients in the UKB, 40,657 had complete bone mineral density information from DEXA scans, and 32,193 had sustained a fragility fracture in the previous five years. In multivariable regression, increased time spent watching television (OR 1.15), living in an area with a high index of deprivation (OR 1.14), infrequent visits from friends and family (OR 1.09), experiencing symptoms of anxiety (OR 1.09), experiencing symptoms of depression (OR 1.08), and decreased exercise frequency (OR 1.03), were associated with increased risk of osteoporosis. Decreased exercise frequency (OR 1.27), increased BMI (OR 1.2), living in an area with a high index of deprivation (OR 1.11), and decreased salary (OR 1.10) were associated with increased risk of fragility fracture. Symptoms of anxiety (OR 1.15), living in an area with a high index of deprivation (OR 1.13), and increased time spent watching television (OR 1.11), living alone (OR 1.08), and symptoms of depression (OR 1.06), were associated with increased risk of osteopenia (p < 0.05 for all variables).

CONCLUSION

Analysis of population-level datasets reveal a range of modifiable mental, social, and lifestyle/behavioral health factors that can inform multidisciplinary team-based care, including strategies that respond to psychosocial concerns and sustaining healthy lifestyles and behaviors in patients experiencing osteoporosis, fragility fracture, and osteopenia. Future work should assess the impact of integrated, whole person management programs for these conditions on longitudinal outcomes.

Predictors of Population Mental Health in Montana: An Occupational Justice Perspective

Population-level analyses can demonstrate occupational injustices and their impact on population health. The objective of this article is to examine whether population-level occupational factors are related to the mental health of Montanans. We used linear regression models of the 2021 Montana County Health Rankings to examine the association between occupational justice and mental health, adjusting for covariates. Predictor variables were access to exercise, insufficient sleep, healthy food access, food insecurity, proximal jobs, and social support. Outcome variables were frequent mental health distress and poor mental health days. Adjusted models showed significant associations between both insufficient sleep (β = 0.25, 95% confidence interval [CI] = [0.0.11, 0.40]; Table 2) and food insecurity (β = 0.32, 95% CI = [0.22, 0.43]) and poor mental health days z scores. Adjusted models also showed significant associations between insufficient sleep (β = 0.18, 95% CI = [0.10, 0.26]) and food insecurity (β = 0.19, 95% CI = [0.12, 0.25]) and frequent mental health distress. Future research should study whether targeting sleep and food security can enhance Montanans's mental health.

Educational disparities in brain health and dementia across Latin America and the United States

BACKGROUND

Education influences brain health and dementia. However, its impact across regions, specifically Latin America (LA) and the United States (US), is unknown.

METHODS

A total of 1412 participants comprising controls, patients with Alzheimer's disease (AD), and frontotemporal lobar degeneration (FTLD) from LA and the US were included. We studied the association of education with brain volume and functional connectivity while controlling for imaging quality and variability, age, sex, total intracranial volume (TIV), and recording type.

RESULTS

Education influenced brain measures, explaining 24%-98% of the geographical differences. The educational disparities between LA and the US were associated with gray matter volume and connectivity variations, especially in LA and AD patients. Education emerged as a critical factor in classifying aging and dementia across regions.

DISCUSSION

The results underscore the impact of education on brain structure and function in LA, highlighting the importance of incorporating educational factors into diagnosing, care, and prevention, and emphasizing the need for global diversity in research.

HIGHLIGHTS

Lower education was linked to reduced brain volume and connectivity in healthy controls (HCs), Alzheimer's disease (AD), and frontotemporal lobar degeneration (FTLD). Latin American cohorts have lower educational levels compared to the those in the United States. Educational disparities majorly drive brain health differences between regions. Educational differences were significant in both conditions, but more in AD than FTLD. Education stands as a critical factor in classifying aging and dementia across regions.

Income inequality and healthcare utilization of the older adults-based on a study in three provinces and six cities in China

Purpose

The objective of this study is to gain a more nuanced understanding of the specific impact of income inequality on the utilization of healthcare services for older adults. Additionally, the study aims to elucidate the moderating and mediating roles of public transfer income and psychological health in this context.

Methods

A systematic examination of the impact of income inequality on healthcare utilization among older adults was conducted through field questionnaire surveys in six cities across three major geographical regions (West, Central, and East). The analysis employed baseline regression, as well as mediating and moderating effect tests.

Results

First, there is a negative relationship between income inequality and the use of therapeutic healthcare services (β1 = -0.484, P < 0.01) and preventive healthcare services (β2 = -0.576, P < 0.01) by older adults. This relationship is more pronounced in the low- and medium-income groups as well as in the western region. The mediating effect of psychological state is significant (β3 = -0.331, P < 0.05, β4 = -0.331, P < 0.05). Public transfer income plays a significant role in regulation. The moderating effect of public transfer income on therapeutic services was more significant in low-income groups (β5 = 0.821, P < 0.01). The moderating effect of public transfer income on preventive services was more significant in middle-income groups (β6 = 0.833, P < 0.01).

Conclusion

The study clearly demonstrates a significant negative correlation between income inequality and the utilization of healthcare services by older adults. Furthermore, the study reveals that this relationship is particularly pronounced among older adults in low- and medium-income and Western regions. This detailed analysis of regional and income level heterogeneity is of particular value in this field of research. Secondly, this study attempts to integrate the two pivotal dimensions of public transfer income and psychological state for the first time, elucidating their moderating and mediating roles in this relationship. The findings indicate that public transfer income serves as a moderating factor, exerting a notable "reordering effect" on income inequality and resulting in a "deprivation effect." Such factors may impede the utilization of medical services, potentially influencing the psychological state of older adults.

The influence of economic policies on social environments and mental health

Despite increased advocacy and investments in mental health systems globally, there has been limited progress in reducing mental disorder prevalence. In this paper, we argue that meaningful advancements in population mental health necessitate addressing the fundamental sources of shared distress. Using a systems perspective, economic structures and policies are identified as the potential cause of causes of mental ill-health. Neoliberal ideologies, prioritizing economic optimization and continuous growth, contribute to the promotion of individualism, job insecurity, increasing demands on workers, parental stress, social disconnection and a broad range of manifestations well-recognized to erode mental health. We emphasize the need for mental health researchers and advocates to increasingly engage with the economic policy discourse to draw attention to mental health and well-being implications. We call for a shift towards a well-being economy to better align commercial interests with collective well-being and social prosperity. The involvement of individuals with lived mental ill-health experiences, practitioners and researchers is needed to mobilize communities for change and influence economic policies to safeguard well-being. Additionally, we call for the establishment of national mental wealth observatories to inform coordinated health, social and economic policies and realize the transition to a more sustainable well-being economy that offers promise for progress on population mental health outcomes.

The role of income inequality as an ecological determinant of mental health: A nation-wide multilevel analysis on an Italian sample

INTRODUCTION

Income inequality, a pivotal determinant of general and mental health, operates through intricate mechanisms at various geographical scales. While established at country or region levels, the impact of lower-level (municipal or neighborhood) inequality remains inconsistent. This study explores the influence of regional- and municipal-level income inequality on individual psychological distress during the COVID-19 pandemic in Italy, employing a multilevel data analysis.

MATERIALS AND METHODS

In a post hoc analysis of data from the first wave of the pandemic (March to April 2020), three hierarchical levels were considered: individual participants, municipalities, and regions. Depressive and anxiety symptoms were measured using the PHQ-9 and GAD-7 scales, while the Gini coefficient gauged income inequality at municipal and regional levels. The analysis incorporated demographic variables as potential confounders.

RESULTS

The study encompassed 21 regions, 3,900 municipalities, and 21,477 subjects. Income inequality at both regional and municipal levels exhibited associations with distress scores, suggesting independent effects. Notably, higher distress scores were identified in southern regions with elevated inequality, despite a more substantial COVID-19 impact in the north.

DISCUSSION

Findings contribute to existing literature by emphasizing the independent impact of lower-level (municipal) and higher-level (regional) income inequality on population psychopathology. The study supports theories suggesting diverse pathways through which inequality at different levels influences health, such as potential associations with healthcare system dysfunction at the regional level and welfare dysfunction at the municipal level. The observed north-south gradient in distress scores highlights the need for psychosocial interventions to alleviate income inequality, especially in historically disadvantaged southern regions. Future research should explore the nuanced interplay between income inequality and various ecological variables to provide a comprehensive understanding of its health impact.

Is income inequality linked to infectious disease prevalence? A hypothesis-generating study using tuberculosis

We study the association between infectious disease incidence and income inequality. We hypothesize that random social mixing in an income-unequal society brings into contact a) susceptible and infected poor and b) the infected-poor and the susceptible-rich, raising infectious disease incidence. We analyzed publicly available, country-level panel data for a large cross-section of countries between 1995 and 2013 to examine whether countries with elevated levels of income inequality have higher rates of pulmonary Tuberculosis (TB) incidence per capita. A "negative control" using anemia and diabetes (both non-communicable diseases and hence impervious to the hypothesized mechanism) is also applied. We find that high levels of income inequality are positively associated with tuberculosis incidence. All else equal, countries with income-Gini coefficients 10% apart show a statistically significant 4% difference in tuberculosis incidence. Income inequality had a null effect on the negative controls. Our cross-country regression results suggest that income inequality may create conditions where TB spreads more easily, and policy action to reduce income inequities could directly contribute to a reduced TB burden.

Causal Assessment of Income Inequality on Self-Rated Health and All-Cause Mortality: A Systematic Review and Meta-Analysis

Policy Points Income is thought to impact a broad range of health outcomes. However, whether income inequality (how unequal the distribution of income is in a population) has an additional impact on health is extensively debated. Studies that use multilevel data, which have recently increased in popularity, are necessary to separate the contextual effects of income inequality on health from the effects of individual income on health. Our systematic review found only small associations between income inequality and poor self-rated health and all-cause mortality. The available evidence does not suggest causality, although it remains methodologically flawed and limited, with very few studies using natural experimental approaches or examining income inequality at the national level.

CONTEXT

Whether income inequality has a direct effect on health or is only associated because of the effect of individual income has long been debated. We aimed to understand the association between income inequality and self-rated health (SRH) and all-cause mortality (mortality) and assess if these relationships are likely to be causal.

METHODS

We searched Medline, ISI Web of Science, Embase, and EconLit (PROSPERO: CRD42021252791) for studies considering income inequality and SRH or mortality using multilevel data and adjusting for individual-level socioeconomic position. We calculated pooled odds ratios (ORs) for poor SRH and relative risk ratios (RRs) for mortality from random-effects meta-analyses. We critically appraised included studies using the Risk of Bias in Nonrandomized Studies - of Interventions tool. We assessed certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation framework and causality using Bradford Hill (BH) viewpoints.

FINDINGS

The primary meta-analyses included 2,916,576 participants in 38 cross-sectional studies assessing SRH and 10,727,470 participants in 14 cohort studies of mortality. Per 0.05-unit increase in the Gini coefficient, a measure of income inequality, the ORs and RRs (95% confidence intervals) for SRH and mortality were 1.06 (1.03-1.08) and 1.02 (1.00-1.04), respectively. A total of 63.2% of SRH and 50.0% of mortality studies were at serious risk of bias (RoB), resulting in very low and low certainty ratings, respectively. For SRH and mortality, we did not identify relevant evidence to assess the specificity or, for SRH only, the experiment BH viewpoints; evidence for strength of association and dose-response gradient was inconclusive because of the high RoB; we found evidence in support of temporality and plausibility.

CONCLUSIONS

Increased income inequality is only marginally associated with SRH and mortality, but the current evidence base is too methodologically limited to support a causal relationship. To address the gaps we identified, future research should focus on income inequality measured at the national level and addressing confounding with natural experiment approaches.

Relationships between employment status with self-perceived mental and physical health in Canada

Background

The annual cost of mental illnesses in Canada is estimated to be $50 billion. Research from other countries have suggested that employment status is associated with mental and physical health. Within the Canadian context, there is a dearth of research on the relationship between employment and mental health.

Objective

To explore the relationships between age, gender, income, and employment status on mental and physical health.

Methods

The 2021 Canadian Digital Health Survey dataset was used for this study. Data records, which included responses for the questions on age, gender, income, employment status, mental, and physical health, were used in the analysis. Ordinal logistics regression was applied to investigate the associations that may exist between mental and physical health with the various sociodemographic factors. Descriptive statistics were also provided for the data.

Results

The total sample size included in the analysis was 10,630. When compared to respondents who had full-time employment, those who were unemployed were more likely to have lower self-perceived mental health (OR: 1.91; 95% CI: 1.55-2.34). Retired respondents were less likely to have worse mental health than respondents who were employed full-time (OR: 0.78; 95% CI: 0.68-0.90). Self-perceived physical health was more likely to be lower for those who were unemployed (OR: 1.74; 95% CI: 1.41-2.14) or retired (OR: 1.28; 95% CI: 1.12-1.48) when compared to respondents employed full-time. The likelihood of worsening mental and physical health was also found to be associated with age, gender, and income.

Conclusion

Our findings support the evidence that different factors contribute to worsening mental and physical health. Full-time employment may confer some protective effects or attributes leading to an increased likelihood of having improved mental health compared to those who are unemployed. Understanding the complex relationships on how various factors impact mental health will help better inform policymakers, clinicians, and other stakeholders on how to allocate its limited resources.

The social determinants of mental health and disorder: evidence, prevention and recommendations

People exposed to more unfavourable social circumstances are more vulnerable to poor mental health over their life course, in ways that are often determined by structural factors which generate and perpetuate intergenerational cycles of disadvantage and poor health. Addressing these challenges is an imperative matter of social justice. In this paper we provide a roadmap to address the social determinants that cause mental ill health. Relying as far as possible on high-quality evidence, we first map out the literature that supports a causal link between social determinants and later mental health outcomes. Given the breadth of this topic, we focus on the most pervasive social determinants across the life course, and those that are common across major mental disorders. We draw primarily on the available evidence from the Global North, acknowledging that other global contexts will face both similar and unique sets of social determinants that will require equitable attention. Much of our evidence focuses on mental health in groups who are marginalized, and thus often exposed to a multitude of intersecting social risk factors. These groups include refugees, asylum seekers and displaced persons, as well as ethnoracial minoritized groups; lesbian, gay, bisexual, transgender and queer (LGBTQ+) groups; and those living in poverty. We then introduce a preventive framework for conceptualizing the link between social determinants and mental health and disorder, which can guide much needed primary prevention strategies capable of reducing inequalities and improving population mental health. Following this, we provide a review of the evidence concerning candidate preventive strategies to intervene on social determinants of mental health. These interventions fall broadly within the scope of universal, selected and indicated primary prevention strategies, but we also briefly review important secondary and tertiary strategies to promote recovery in those with existing mental disorders. Finally, we provide seven key recommendations, framed around social justice, which constitute a roadmap for action in research, policy and public health. Adoption of these recommendations would provide an opportunity to advance efforts to intervene on modifiable social determinants that affect population mental health.

Understanding people's experiences of the formal health and social care system for co-occurring heavy alcohol use and depression through the lens of relational autonomy: A qualitative study

BACKGROUND AND AIMS

Heavy alcohol use and depression commonly co-occur. However, health and social care services rarely provide coordinated support for these conditions. Using relational autonomy, which recognizes how social and economic contexts and relational support alter people's capacity for agency, this study aimed to (1) explore how people experience formal care provision for co-occurring alcohol use and depression, (2) consider how this context could lead to adverse outcomes for individuals and (3) understand the implications of these experiences for future policy and practice.

DESIGN

Semi-structured qualitative interviews underpinned by the methodology of interpretive description.

SETTING

North East and North Cumbria, UK.

PARTICIPANTS

Thirty-nine people (21 men and 18 women) with current or recent experience of co-occurring heavy alcohol use ([Alcohol Use Disorders Identification Test [AUDIT] score ≥ 8]) and depression ([Patient Health Questionnaire test ≥ 5] screening tools to give an indication of their current levels of alcohol use and mental score).

MEASUREMENTS

Semi-structured interview guide supported in-depth exploration of the treatment and care people had sought and received for heavy alcohol use and depression.

FINDINGS

Most participants perceived depression as a key factor contributing to their heavy alcohol use. Three key themes were identified: (1) 'lack of recognition' of a relationship between alcohol use and depression and/or contexts that limit people's capacity to access help, (2) having 'nowhere to go' to access relevant treatment and care and (3) 'supporting relational autonomy' as opposed to assuming that individuals can organize their own care and recovery. Lack of access to appropriate treatment and provision that disregards individuals' differential capacity for agency may contribute to delays in help-seeking, increased distress and suicidal ideation.

CONCLUSIONS

Among people with co-occurring heavy alcohol use and depression, lack of recognition of a relationship between alcohol use and depression and formal care provision that does not acknowledge people's social and economic context, including their intrinsic need for relational support, may contribute to distress and limit their capacity to get well.

Association between screen time and physical activity on mental health among preschoolers: a cross-sectional study from Southwest China

BACKGROUND

Screen time and physical activity behaviors undergo development during early childhood and impact mental health. However, there is limited knowledge regarding the associations between physical activity, screen time, and mental health problems (MHP) in preschoolers. This study examines these associations using a large sample size and brief measures.

METHODS

A multistage cluster stratified sampling method was used to conduct an observational cross-sectional study of 19,015 Chinese preschoolers in 2020. Information on physical activity, and screen time was collected by a self-administered questionnaire; MHP was assessed by the parent-reported Strengths and Difficulties Questionnaire (SDQ). Logistic regression models were used to obtain the odds ratios (ORs) and 95% confidence intervals (95% CIs) of preschoolers' MHP associated with screen time, total physical activities, moderate to vigorous physical activity (MVPA), and outdoor physical activities.

RESULTS

A total of 19,015 participants from the 19,548 recruited population were included in the analyses (missing rate: 2.73%), 52.60% were boys. 64.01%, 57.96%, 35.98%, and 82.64% of preschoolers were reported to meet total physical activities, MVPA, and outdoor activities with screen time recommendations level. The results of multivariable-adjusted ORs (95% CIs) of preschoolers' MHP for comparisons of different levels of screen time (< 2 h/day, 2-4 h/day,≥4 h/day) show that screen time positively associated with MHP after adjusting for confounders (P < 0.05), but the association was not significant among girls with screen time ≥ 4 h/day. In addition, increased engagement in physical activity was reversely linked to MHP (P < 0.05). A stronger association between MHP and MVPA was observed in boys, however, this association was weakened when the total time spent engaging in MVPA exceeded two hours per day (P < 0.05).

CONCLUSION

Less physical activity and more screen time positively relate to MHP, but the relationship differs by type of physical activity, total time, and gender. These findings provide novel insights and evidence supporting for guidelines on physical activity, screen time, and improvement of mental health for preschoolers.

The association of social inequality with the onset, persistence, and progression of psychotic experiences along the extended psychosis phenotype: a 6-year follow-up study in a community-based sample

PURPOSE

This paper aims to investigate associations between early childhood and current indicators of socioeconomic inequality and the onset (incident), persistence and progression (increase in severity) of psychotic experiences (PEs) in a longitudinal follow-up of a community-based population.

METHODS

Households in the metropolitan area of Izmir, Turkey were contacted in a multistage clustered probability sampling frame, at baseline (T1, n = 4011) and at 6-year follow-up (T2, n = 2185). Both at baseline and follow-up, PEs were assessed using Composite International Diagnostic Interview 2.1. The associations between baseline socioeconomic features and follow-up PEs were analysed using logistic regression models. Indicators of social inequality included income, educational level, current socioeconomic status (SES), social insurance, the area resided, ethnicity, parental educational level, and SES at birth.

RESULTS

The risk of onset of PEs was significantly higher in lower education, lower SES, and slum-semi-urban areas. The persistence of PEs was significantly associated with the lowest levels of education and current SES, and rural residency. Persistent PEs were significantly and negatively associated with paternal SES at birth. Progression of PEs was significantly higher among respondents with educational achievements lower than university level and lower levels of SES, who have no social insurance and who reside in slum-semi-urban areas. Parental education and paternal SES at birth were not associated with the persistence of PEs.

CONCLUSION

Indicators of social inequality (low education, low SES, low income, and poverty in the neighbourhood) were associated with the onset and persistence of PEs and progression along the extended psychosis phenotype. The early indicators seem to have a modest life-long impact on the psychosis phenotype.

Nature visits, but not residential greenness, are associated with reduced income-related inequalities in subjective well-being

Nature exposure can promote human health and well-being. Additionally, there is some, albeit mixed, evidence that this relationship is stronger for socio-economically disadvantaged groups (equigenesis). Using a cross-sectional survey of the Austrian population (N = 2300), we explored the relationships between both residential greenness and recreational nature visits, and affective (WHO-5 Well-Being Index) and evaluative (Personal Well-Being Index-7) subjective well-being. Partially supporting the equigenesis hypothesis, regression analyses controlling for potential confounders found that recreational visit frequency, but not residential greenness, moderated the effect of income-related disparities in both subjective well-being metrics. Results suggest that merely making neighborhoods greener may not itself help reduce inequalities in subjective well-being. Additionally, greater efforts are also needed to support individuals from all sectors of society to access natural settings for recreation as this could significantly improve the well-being of some of the poorest in society.

Income inequality and depressive symptoms among Chinese adults: a quasi-experimental study

OBJECTIVE

There is a lack of causal evidence on the impact of income inequality on depressive symptoms. The impact of China's Targeted Poverty Alleviation (TPA) policy on depressive symptoms is also unclear. Using a quasi-experimental design, this study aims to investigate the causal effects of TPA and income inequality on depressive symptoms among Chinese adults.

STUDY DESIGN

This is a population-based study.

METHODS

Three waves (2012, 2016, and 2018) of the China Family Panel Studies (CFPS), a nationally representative sample of China, were included in this study. We performed difference-in-difference (DID) models to assess the effect of TPA and income inequality on depressive symptoms. We further conducted the mixed effect models to examine the impact of income inequality on depressive symptoms. The study considered a range of spatial factors and spatial splines to address spatial autocorrelations.

RESULTS

This study included valid measures of depressive symptoms (Center for Epidemiologic Studies Depression Scale [CES-D-8] score) from 14,442 adults of CFPS. The DID results indicated that at the provincial level, the CES-D-8 score of the TPA treatment group was on average 0.570 (95% confidence interval [CI]: 0.358-0.783) less than the control group. Furthermore, a 0.1 increase in Gini index would lead to a 0.256 (95% CI: 0.064-0.448) increase in CES-D-8 score. The mixed effect model showed that income inequality was a risk factor for depressive symptoms at the provincial level (excess risk = 5.602% [95% CI: 3.047%-8.219%]).

CONCLUSIONS

Our findings suggest that income inequality adversely affects mental health, but China's Targeted Poverty Alleviation improves the mental health of the Chinese population.

Association Between Mental Health Burden, Clinical Presentation, and Outcomes in Individuals With Symptomatic Peripheral Artery Disease: A Scientific Statement From the American Heart Association

Along with the rising burden of peripheral artery disease (PAD), mental health concerns are increasingly being recognized as a comorbidity to address in the chronic disease management of symptomatic PAD. Apart from a high prevalence of comorbid mental health conditions, the role of pain and changing health behaviors and the broader impacts of illness and adaptation to living with PAD require specialized behavioral health expertise. This scientific statement builds a case that this expertise should be integrated within the multidisciplinary PAD team. Furthermore, areas such as cognitive dysfunction and palliative care are highlighted as needing psychological interventions. Although much of the evidence of the efficacy of psychological and psychotropic interventions has been extrapolated from other cardiovascular populations, evidence for the role of psychological interventions for behavior change, for example, uptake of exercise regimens, is increasingly being accrued within PAD. Areas for behavioral health needs and interactions with PAD treatment are discussed, including the use of opioids, depression management, anxiety and stress reduction interventions, the use of benzodiazepines and antidepressants, smoking cessation, rehabilitation trajectories after amputation, and the role of cognitive decline for PAD treatment and outcomes. A case summary highlights the stigma around mental health and vascular disease and the fragmentation of care. This scientific statement provides remarks for building a road map for integrated behavioral PAD care and potential solutions to overcome these barriers. Instrumental to reaching these changes are interprofessional advocacy efforts and initiatives that help break down the stigma around mental health and promote evidence-based collaborative, nonhierarchical, and multidisciplinary PAD care.

Addressing Global Environmental Challenges to Mental Health Using Population Neuroscience: A Review

Importance

Climate change, pollution, urbanization, socioeconomic inequality, and psychosocial effects of the COVID-19 pandemic have caused massive changes in environmental conditions that affect brain health during the life span, both on a population level as well as on the level of the individual. How these environmental factors influence the brain, behavior, and mental illness is not well known.

Observations

A research strategy enabling population neuroscience to contribute to identify brain mechanisms underlying environment-related mental illness by leveraging innovative enrichment tools for data federation, geospatial observation, climate and pollution measures, digital health, and novel data integration techniques is described. This strategy can inform innovative treatments that target causal cognitive and molecular mechanisms of mental illness related to the environment. An example is presented of the environMENTAL Project that is leveraging federated cohort data of over 1.5 million European citizens and patients enriched with deep phenotyping data from large-scale behavioral neuroimaging cohorts to identify brain mechanisms related to environmental adversity underlying symptoms of depression, anxiety, stress, and substance misuse.

Conclusions and Relevance

This research will lead to the development of objective biomarkers and evidence-based interventions that will significantly improve outcomes of environment-related mental illness.

Perceptions and attitudes of users and non-users of mental health services concerning mental illness and services in Japan

Objectives

There is a global movement to develop and implement community-based integrated mental health systems. The present study attempted to clarify the perceptions and attitudes of users and non-users of mental health services concerning mental illness and services in Japan.

Methods

A new questionnaire was developed for this internet survey. Data from 500 outpatients with depression and 500 healthy subjects were sampled according to the demographics of the Japanese population.

Results

Over 90% of healthy subjects and over 70% of patients were unaware of the common age of onset or lifetime prevalence of mental illness. Over 90% of the healthy subjects and about 70% of the patients could not describe any services where they would feel comfortable discussing mental health problems. In both groups, "adolescents and young adults" were ranked first as a target population for mental health and illness policies. The top requirement for the integrated care systems was the promotion and awareness of correct knowledge of mental illness in both the healthy subjects and patients.

Conclusion

Societal requirements could include disseminating correct knowledge, awareness-raising actions for society, and implementing services where people, especially young people, can easily consult and receive support in the community.

Two sides of the same coin? Absolute income and perceived income inadequacy as social determinants of health

BACKGROUND

Absolute income is commonly used in studies of health inequalities, however it does not reflect spending patterns, debts, or expectations. These aspects are reflected in measures concerning perceived income inadequacy. While health inequities by absolute income or perceived income inadequacy are well established, few studies have explored the interplay of absolute income and perceived income inadequacy in relation to health.

METHODS

Multiple data sources were linked into a nationally representative dataset (n = 445,748) of Dutch adults (18 +). The association between absolute income, perceived income inadequacy and health (self-reported health, chronic disease and psychological distress) was tested using logistic and Poisson regressions, controlling for various potential confounders (demographics, education) and mastery. Interactions were tested to check the association between perceived income inadequacy and health for different absolute income groups.

RESULTS

Perceived income inadequacy was reported at every absolute income group (with 42% of individuals in the lowest income group and 5% of individuals in the highest income group). Both absolute income and perceived income inadequacy were independently associated with health. The adjusted relative risk (RR) for lowest absolute income group is 1.11 (1.08-1.1.14) and 1.28 (1.24-1.32) for chronic disease and self-reported health respectively, and the Odds Ratio (OR) for psychological distress is 1.28 (1.16-1.42). For perceived income inadequacy the RR's were 1.41 (1.37-1.46) and 1.49 (1.44-1.54) and the OR for psychological distress is 3.14 (2.81-3.51). Mastery appeared to be an important mediator for the relationship between perceived income inadequacy, poor self-rated health and psychological distress.

CONCLUSIONS

Absolute income and perceived income inadequacy reflect conceptually different aspects of income and are independently associated with health outcomes. Perceived income inadequacy may be accounted for in health inequality studies, alongside measures of absolute income. In policy-making, targeting perceived income inadequacy might have potential to reduce health inequalities.

Socioeconomic and sex inequalities in parent-reported adolescent mental ill-health: time trends in four British birth cohorts

BACKGROUND

Studies using symptom-based screeners have suggested that mental ill-health has increased in adolescents in recent decades, however, few studies have tested the equivalence of their instruments, which is critical for inferring changes in prevalence. In addition, little research has explored whether socioeconomic position (SEP) and sex inequalities in adolescent mental health have changed over time.

METHODS

Using structural equation modelling, we explored SEP and sex differences in harmonised parent reports of emotional and behavioural problems, using data from four UK birth cohorts: the 1958 National Child Development Study (NCDS'58; n = 10,868), the 1970 British Cohort Study (BCS'70; n = 8,242), the 1991-92 Avon Longitudinal Study of Parents and Children (ALSPAC'91; n = 5,389), and the 2000-01 Millennium Cohort Study (MCS'01; n = 9,338).

RESULTS

Compared with the two earliest cohorts, members of MCS'01 had higher latent mean scores on emotional problems (both sexes), and lower scores on behavioural problems (females only). The associations between four indicators of SEP and emotional problems were strongest in MCS'01, with housing tenure having the strongest association. All four SEP indicators were associated with behavioural problems in each cohort, with housing tenure again more strongly associated with problems in the MCS'01. Mediation analyses suggested that the increase in emotional problems occurred despite broadly improving socioeconomic conditions.

CONCLUSIONS

Our findings suggest that parent reports of adolescent emotional problems, but not behavioural problems, have risen in recent generations and this trend is not solely due to reporting styles. A failure to address widening social inequalities may result in further increases in mental ill-health amongst disadvantaged young people.

The Social Determinants of Mental Illness: A Rapid Review of Systematic Reviews

Previous research agendas have prioritised the role of biological determinants in mental illness aetiology. This is of particular concern, as endorsing biological determinants has been shown to promote negative attitudes towards people with mental illness. The aim of this review was to provide an overview of high-quality evidence of the social determinants of mental illness. A rapid review of systematic reviews was conducted. Five databases were searched: Embase, Medline, Academic Search Complete, CINAHL Plus, and PsycINFO. Systematic reviews or meta-analyses that described any social determinant of mental illness, were published in peer-review journals in English, and focussed on human participants were included. The Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines were applied for the selection procedure. Thirty-seven systematic reviews were deemed eligible for review and narrative synthesis. Determinants identified included conflict, violence and maltreatment, life events and experiences, racism and discrimination, culture and migration, social interaction and support, structural policies and inequality, financial factors, employment factors, housing and living conditions, and demographic factors. We recommend that mental health nurses ensure adequate support be provided to those affected by the evidenced social determinants of mental illness.

Designing a generic, adaptive protocol resource for the measurement of health impact in cash transfer pilot and feasibility studies and trials in high-income countries

INTRODUCTION

In the context of the COVID-19 pandemic, upstream interventions that tackle social determinants of health inequalities have never been more important. Evaluations of upstream cash transfer trials have failed to capture comprehensively the impacts that such systems might have on population health through inadequate design of the interventions themselves and failure to implement consistent, thorough research measures that can be used in microsimulations to model long-term impact. In this article, we describe the process of developing a generic, adaptive protocol resource to address this issue and the challenges involved in that process. The resource is designed for use in high-income countries (HIC) but draws on examples from a UK context to illustrate means of development and deployment. The resource is capable of further adaptation for use in low- and middle-income countries (LMIC). It has particular application for trials of Universal Basic Income but can be adapted to those covering other kinds of cash transfer and welfare system changes.

METHODS

We outline two types of prospective intervention based on pilots and trials currently under discussion. In developing the remainder of the resource, we establish six key principles, implement a modular approach based on types of measure and their prospective resource intensity, and source (validated where possible) measures and baseline data primarily from routine collection and large, longitudinal cohort studies. Through these measures, we seek to cover all areas of health impact identified in our theoretical model for use in pilot and feasibility studies.

RESULTS

We find that, in general, self-reported measures alongside routinely collected linked respondent data may provide a feasible means of producing data capable of demonstrating comprehensive health impact. However, we also suggest that, where possible, physiological measures should be included to elucidate underlying biological effects that may not be accurately captured through self-reporting alone and can enable modelling of long-term health outcomes. In addition, accurate self-reported objective income data remains a challenge and requires further development and testing. A process of development and implementation of the resource in pilot and feasibility studies will support assessment of whether or not our proposed health outcome measures are acceptable, feasible and can be used with validity and reliability in the target population.

DISCUSSION

We suggest that while Open Access evaluation instruments are available and usable to measure most constructs of interest, there remain some areas for which further development is necessary. This includes self-reported wellbeing measures that require paid licences but are used in a range of nationally important longitudinal studies instead of Open Access alternatives.

Factors Associated with Dietary Restriction and Emotional and Uncontrolled Eating in Adults from Spanish-Speaking Countries during the COVID-19 Confinement: Results of the CoV-Eat Project

The first COVID-19 confinement has led to changes in the population’s behaviour. However, little has been analysed about the changes in eating behaviour beyond the decrease in adherence to healthy dietary patterns. The aim of the CoV-Eat project was to identify factors related to each of the following eating behaviours (EB): cognitive restraints (CR), uncontrolled eating (UE), and emotional eating (EE) in adults from Spanish-speaking countries. Participants completed an anonymous online survey. EB was assessed using the Three-Factor Eating Questionnaire and the scores were classified into tertiles. Socio-demographic characteristics and lifestyle habits including physical activity, sleep quality, screen use, smoking consumption, and relationship with food were also collected. A total of 9849 participants from 21 countries were included in this study. The median of CR, UE, and EE behaviours was 15, 24, and 9, respectively. We observed that higher age, days of confinement, number of times leaving home in the last week, changes in sleep quality, and their relationship with food were negatively associated with CR, EE, and UE, while being a man was positively associated with an increased in all these EBs. A higher household income was negatively associated with a higher score of CR, and a higher education level (>primary) was positively associated with a medium score of EE. Lower physical activity was a factor negatively associated with a medium score of EE and UE. Higher screen use showed the same negative association for a medium score of EE and UE and a high score of CR. In addition, higher tobacco consumption was found to be a protective factor against having a medium or high score of CR and EE. In conclusion, some sociodemographic characteristics and lifestyle changes may be important factors for EB and should be considered in emergency situations such as confinement to prevent risky eating behaviour.

What are the socioeconomic determinants of mental disorders?

PURPOSE

This study examines the influence of socioeconomic factors on the prevalence of depression and anxiety and on the number of years lived with disability (YLD) of depression and anxiety.

DESIGN AND METHODS

This is an exploratory study. The study analyzed data from 160 member countries of the World Health Organization (WHO).

FINDINGS

Except for alcohol consumption and unemployment rate, Gini coefficient, age dependency, rural population, and population aged 65 and above have statistically significant effects on both depression and anxiety prevalence. Also, Gini coefficient and rural population have significant effects on YLD of depression and anxiety.

PRACTICE IMPLICATIONS

The study results will allow psychiatrists, psychologists, and other mental health professionals to focus on policy reforms that address the social determinants of mental health.

Perspectives in poverty and mental health

In recent years, different forms of poverty and their interaction with mental illness have been in the focus of research, although the implementation of action in mental health care and policy making so far is scarce. This perspective article offers different perspectives of poverty and its reciprocal association with mental illness and outlines possible future research and policy implications. We will approach the topic of poverty from various levels: On a micro-level, focusing on absolute poverty with precarious housing and malnutrition. On a meso-level, on neighborhood-related poverty as a factor in individuals' mental illness. On a macro-level, on effects of income inequality on mental health. In several studies, it has been shown that on each level, poverty has a profound impact on mental health, though it must be noted that in some fields, research is still scarce. In the future, an inter- and transdisciplinary approach is of considerable importance, since poverty and its impact on mental health should be addressed from different perspectives, reaching from targeted programs for individual groups (e.g., homeless people) up to national policy measures.

Occupational Differences in Psychological Distress Between Chinese Dentists and Dental Nurses

Background

Doctors and allied health professionals are facing serious mental health issues, which have received widespread attention. This study aimed to explore the occupational differences in psychological distress between Chinese dentists and dental nurses.

Materials and Methods

The data was collected from a cross-sectional study conducted by the Chongqing Stomatological Association. Medical personnel involved in this survey were invited to complete a battery of self-administrated questionnaires, specifically the General Health Questionnaire-12, Maslach Burnout Inventory, and career choice regret scale. Data on demographic characteristics and working conditions were also collected. The results of these questionnaires were analyzed with SPSS (version 23.0). Univariate and multivariable analyzes were conducted to explore the influencing factors.

Results

A total of 3,020 valid questionnaires, including 1,855 dentists and 1,165 dental nurses, were collected from 11 provinces of China. In general, 23.8% of responders exhibited psychological distress. The rate of dentists was 25.7%, and that of dental nurses was 20.8%. The prevalence was 4.9% higher in dentists than in dental nurses (P < 0.05). The multivariable analysis showed that factors associated with psychological distress for dentists were lower income, burnout, high job stress, career-choice regret, and lack of sufficient personal time, and that for dental nurses were age, lower income, longer working hours per week, burnout, high job stress, low job satisfaction, lack of sufficient personal time, and poor medical environment.

Conclusion

The prevalence of psychological distress was relatively high among dental medical staff, and dentists showed a higher prevalence than dental nurses. Nurses have more risk factors for psychological distress than dentists. These results indicate that it is necessary to monitor the mental health status of dental medical staff and implement accurate strategies for dentists and dental nurses to promote their physical and mental health.

Study on the Impact of Income Gap on Health Level of Rural Residents in China

With the rapid development of the social economy, health has increasingly become the focus of attention. Therefore, based on the balanced panel data of the China Household Tracking Survey (CFPS) from 2010 to 2018, the Probit model was used to investigate the impact of the income gap in rural areas on residents' health level, and the relevant influencing mechanism was discussed in this paper. Results: (1) The income gap has a significant negative effect on the health level of rural residents, and the expansion of the income gap will have a more significant impact on the health level of rural residents. (2) The income gap will restrain the health level of rural residents by affecting the family income level and mobility constraints. (3) The restraining effect of the income gap on health formation mainly affects the families of young rural residents, rural male residents, residents with no rental income, and residents with low social capital. This paper analyzes and discusses, from the perspective of income gap, the impact of the income gap on the health status of rural residents in China. Based on the above conclusions, this paper puts forward some feasible suggestions to improve the health level of rural residents.

An investigation of the longitudinal relationship between neighbourhood income inequality and individual self-rated health in England

There are mixed findings on whether neighbourhood income inequality leads to better self-rated health (SRH) or not. This study considers two hypotheses: individuals living in more unequal neighbourhoods have better SRH and the level of neighbourhood income inequality and its impact on SRH is moderated by household and neighbourhood level income related variables. Data from Waves 8-10 of the UK Household Longitudinal Study for respondents living in England at wave 8 were used. Neighbourhood income inequality was measured using Gini coefficients of household income from the Pay As You Earn and benefits systems for Lower Super Output Areas. Longitudinal ordinal multilevel models predicted self-rated health in 2016-18, 2017-19 and 2019-20 by income inequality and its interaction with household income, neighbourhood median income and neighbourhood deprivation, conditional on individual educational attainment, age, sex, ethnic group, years lived in current residence, region of residence and study wave. There were 24,889 respondents analysed over three waves. SRH was worse for those living in more income equal neighbourhoods. There was no indication that neighbourhood inequality was moderated by household income, neighbourhood median income or neighbourhood deprivation. These findings are in line with the balance of existing evidence and support policy interventions that aim to create mixed communities for the purpose of improving population health.

Rising childhood income inequality and declining Americans' health

Morbidity and mortality are on the rise among Baby Boomers and younger cohorts. This study investigates whether this unfavorable health trend across birth cohorts 1925-1999 is related to rising income inequality Americans face during childhood. We use two nationally representative datasets: National Health and Nutrition Examination Surveys (NHANES) 1988-2018 and Panel Studies of Income Dynamics (PSID) 1968-2013, and two health outcomes: biomarkers of physiological dysregulation, and a chronic disease index. Childhood income inequality is measured by the average of the Gini index at the national level each birth cohort is exposed to between birth and age 18, where the Gini index from 1925 to 2016 is computed based on Internal Revenue Service income data. By merging childhood income inequality to individual level data from NHANES or PSID based on birth cohort, we find childhood income inequality is positively associated with the risk of physiological dysregulation in adulthood for all gender and racial groups in the NHANES data. It is also significantly related to the risk of chronic disease in the PSID data. This association is robust to controls for individual level childhood health and family background, adulthood socioeconomic and marital status, and contemporary macro socioeconomic factors. More importantly, childhood income inequality exposure explains a substantial amount of variation in these two health outcomes across cohorts, a pattern not observed for other early life exposures that display negative temporal trends similar to those for childhood income inequality. This study provides important evidence that income inequality experienced during childhood may have a long-lasting negative consequence for adult health, which partially explains the adverse health trends experienced by Baby Boomers and younger cohorts in the United States.

Social Vulnerability and Mental Health Inequalities in the "Syndemic": Call for Action

Covid-19 is referred to as a "syndemic," i.e., the consequences of the disease are exacerbated by social and economic disparity. Poor housing, unstable work conditions, caste, class, race and gender based inequities and low incomes have a profound effect on mental health and wellbeing. Such disparities are increasing between, among and within countries and are exacerbated by human rights violations, in institution and in society, stigma and discrimination. Social capital can mediate health outcomes, through trust and reciprocity, political participation, and by mental health service systems, which can be coercive or more open to demand of emancipation and freedom. Societal inequalities affect especially vulnerable groups, and Covid itself had a wider impact on the most socially vulnerable and marginalized populations, suffering for structural discrimination and violence. There are complex relations among these social processes and domains, and mental health inequalities and disparity. Participation and engagement of citizens and community organizations is now required in order to achieve a radical transformation in mental health. A Local and Global Action Plan has been launched recently, by a coalition of organizations representing people with lived experience of mental health care; who use services; family members, mental health professionals, policy makers and researchers, such as the International Mental Health Collaborating Network, the World Federation for Mental Health, the World Association for Psychosocial Rehabilitation, the Global Alliance of Mental Illness Advocacy Networks (GAMIAN), The Mental Health Resource Hub in Chennai, India, The Movement for Global Mental Health (MGMH) and others. The Action Plan addresses the need for fundamental change by focusing on social determinants and achieving equity in mental health care. Equally the need for the politics of wellbeing has to be embedded in a system that places mental health within development and social justice paradigm, enhancing core human capabilities and contrasting discriminatory practices. These targets are for people and organizations to adopt locally within their communities and services, and also to indicate possible innovative solutions to Politics. This global endeavor may represent an alternative to the global mental discourse inspired by the traditional biomedical model.

Predicting self-harm and suicide ideation during the COVID-19 pandemic in Indonesia: a nationwide survey report

BACKGROUND

It is estimated that 77.0% of suicide cases occurred in low-and-middle-income countries (LMICs), which would increase because of the COVID-19 pandemic and socioeconomic inequity. However, there is lack of reports on this topic from LMICs, especially during the pandemic. Therefore, this nationwide study aimed to explore self-harm and suicide ideation and its predictive variables during the pandemic in Indonesia as a MIC with the highest COVID-19 fatality rate in Asia.

METHODS

Non-random sampling online survey was conducted nationwide between 25 May and 16 June 2021. The collected data were demographic variables (i.e. age group), loneliness from social isolation using The UCLA Loneliness Scale Six Items (ULS-6), and self-harm and suicide ideation using item 9 of The Patient Health Questionnaire-9 (PHQ-9). Predictive model was analyzed using hierarchical logistic regression.

RESULTS

A total of 5211 participants from all 34 provinces in Indonesia completed the survey. Among 39.3% of them reported self-harm and suicide ideation during the pandemic, which significantly correlated with loneliness. The predictive variables associated with the likelihood of self-harm and suicide ideation were age, residence, job, religion, sex-gender, sexual orientation, HIV status, disability status, and loneliness. The predictive model showed a significant goodness-of-fit to the observed data (x² [ (15)] = 1803.46, p < .001), R_N² = .40.

CONCLUSION

Four out of 10 Indonesians experienced self-harm and suicide ideation during the COVID-19 pandemic, particularly people within the age range of 18-24, living in the Java Island, unemployed/student/retired and freelancer, women, members of minority and marginalized communities, and experience of loneliness during the pandemic.

The effects of U.S. county and state income inequality on self-reported happiness and health are equivalent to zero

PURPOSE

A popular idea in the social sciences is that contexts with high income inequality undermine people's well-being and health. However, existing studies documenting this phenomenon typically compare a small number of higher-level units (countries/regions). Here, we use local income inequality indicators and temporal designs to provide the most highly powered test to date of the associations between income inequality and self-reported happiness and health in the USA METHOD: We combined county-level income inequality data (county-level Gini coefficients) with the responses from the General Social Survey (GSS) Cross-sectional dataset (13,000 + participants from ≈1000 county-waves) and Panels (3 × 3000 + participants from 3 × ≈500 county-waves); we used the GSS happiness ("not too happy," "pretty happy," or "very happy") and health ("poor," "fair," "good," or "excellent") variables.

RESULTS

Multilevel-ordered logistic models and equivalence tests revealed that the within-county effects of income inequality on self-reported happiness and health were systematically equivalent to zero. Additional analyses revealed that the within-state effects were identical, that using alternative measures of state income inequality led to the same conclusions, and that lagged effects (between + 1 and + 12 years) were never significant and always equivalent to zero.

CONCLUSION

The present work suggests that-at least in the USA-income inequality is likely neither associated with self-reported happiness nor with self-reported health.

Subjective social status and cardiometabolic risk markers in young adults

BACKGROUND

Low subjective social status (SSS), the perceived status in the social hierarchy, is associated with cardiometabolic risk in middle-aged and older adults. However, most studies are cross-sectional and very little is known about the association in adolescence and young adulthood. The aims of this study were; a) to prospectively investigate the association between SSS at ages 15 and 28 and cardiometabolic risk at age 28-30 and b) to examine if such an association was independent of smoking, physical activity and objective measures of social position.

METHODS

The study used questionnaire information at ages 15 and 28 from the West Jutland Cohort Study (N = 3681), health measurements from a sub-sample of the cohort (N = 264, age 28-30, 50% women) and information from population-based national registers. The independent variable was a measure of SSS evaluated by a 10-rung ladder scale and dichotomized at the 25th percentile of data from the cohort study population. The outcome measure was a composite score of cardiometabolic risk including measures of lipids, inflammation, blood pressure and glucose-metabolism. Co-variates included smoking, physical activity, childhood and adulthood socioeconomic position. Sex-stratified linear regression analyses were performed to evaluate the associations between SSS and cardiometabolic risk.

RESULTS

In both sexes, low SSS at age 28, but not at age 15, was significantly associated with increased cardiometabolic risk at age 28-30. Neither smoking, physical activity, childhood or adulthood objective socioeconomic position fully explained the associations.

CONCLUSION

In young adulthood, SSS was inversely related to cardiometabolic risk after accounting for smoking, physical activity and objective measures of socioeconomic position. These findings suggest that SSS could play a role in the social disparities in cardiometabolic risk in addition to traditional measures of socioeconomic position.

Analysis of global prevalence of mental and substance use disorders within countries: focus on sociodemographic characteristics and income levels

This report presents the prevalence of mental and substance use disorders around the world discussing the impact of geographical, sociodemographic, and income characteristics on national epidemiological differences. We analysed data from the Institute of Health Metrics and Evaluation database published in 2019. The global prevalence of mental disorders was 13.0%, with higher prevalence of anxiety disorders rate (4.1%), followed by depressive disorders (3.8%, including major depressive disorder 2.49% and dysthymia 1.35%), intellectual disability (1.5%), ADHD (1.1%), conduct disorders (0.5%), bipolar disorders (0.5%), autism spectrum disorder s (0.4%), schizophrenia (0.3%), and eating disorders (0.2%, including bulimia nervosa 0.13% and anorexia nervosa 0.05%). The worldwide prevalence of substance-use disorders was 2.2%, not surprisingly, with higher prevalence of alcohol-use disorders (1.5%) than other drug-use disorders (0.8% total including: cannabis 0.32%; opioid 0.29%, amphetamine 0.10%; cocaine 0.06%). In general, high-income countries reported higher levels of mental and substance use disorders, with the exceptions of conduct and depressive disorders (no significant differences were found among low- and high-income countries), and intellectual disability (with higher prevalence in low-income countries). In regions of the America's prevalence rates of mental and substance use disorders were higher than in Europe. Western Pacific countries reported high levels of schizophrenia, and depressive disorders were highly prevalent in Africa as well as in the Americas. Intellectual disability reported higher rates in Eastern Mediterranean and South-East Asia. We discuss the cross-cultural variations in mental health expenditure and literacy as well as stigma-related factors and some of the environmental risk factors possibly related to these prevalence differences.

A Fresh Evidence of Income Inequality and Health Outcomes Asymmetric Linkages in Emerging Asian Economies

During the last few decades, income inequality in emerging Asian economies has been increased dramatically. It is widely recognized that income inequality has severely impacted population health. This study attempts to estimate the impact of income inequality on health outcomes in emerging Asian economies for a time horizon ranging from 1991 to 2019. Our empirical analysis shows that income inequality has a negative effect on life expectancy in the long run. We also find that positive changes in income inequality decrease life expectancy, but a negative change in income inequality increases life expectancy in the long run in emerging Asian economies. The symmetric and asymmetric results are robust to different measures of econometric methods. Thus, governments should pay more attention to the consequences of their economic policies on income inequality to improve health outcomes.

The association between income inequality and adult mental health at the subnational level-a systematic review

PURPOSE

A systematic review was undertaken to determine whether research supports: (i) an association between income inequality and adult mental health when measured at the subnational level, and if so, (ii) in a way that supports the Income Inequality Hypothesis (i.e. between higher inequality and poorer mental health) or the Mixed Neighbourhood Hypothesis (higher inequality and better mental health).

METHODS

Systematic searches of PsycINFO, Medline and Web of Science databases were undertaken from database inception to September 2020. Included studies appeared in English-language, peer-reviewed journals and incorporated measure/s of objective income inequality and adult mental illness. Papers were excluded if they focused on highly specialised population samples. Study quality was assessed using a custom-developed tool and data synthesised using the vote-count method.

RESULTS

Forty-two studies met criteria for inclusion representing nearly eight million participants and more than 110,000 geographical units. Of these, 54.76% supported the Income Inequality Hypothesis and 11.9% supported the Mixed Neighbourhood Hypothesis. This held for highest quality studies and after controlling for absolute deprivation. The results were consistent across mental health conditions, size of geographical units, and held for low/middle and high income countries.

CONCLUSIONS

A number of limitations in the literature were identified, including a lack of appropriate (multi-level) analyses and modelling of relevant confounders (deprivation) in many studies. Nonetheless, the findings suggest that area-level income inequality is associated with poorer mental health, and provides support for the introduction of social, economic and public health policies that ameliorate the deleterious effects of income inequality.

CLINICAL REGISTRATION NUMBER

PROSPERO 2020 CRD42020181507.