The public health effects of interventions similar to basic income: a scoping review

Prospective Health Impacts of a Universal Basic Income: Evidence from Community Engagement in South Tyneside, United Kingdom

Studies have suggested that universal basic income (UBI) has the capacity to have substantial health benefits across the population at national level. Multiple impact pathways have recently been theorized and there are calls for trials to explore these pathways empirically. However, very limited research has taken place at local levels to explore potential context-specific effects, or how these effects could play out in economic, social, and behavioral changes. In order to examine these effects and to think through potential issues and unintended consequences, we brought together citizen engagement groups in Jarrow, South Tyneside, in the northeast of England to explore local people's expectations and positions on the development of UBI policies and pilots prior to their implementation. We found that people's expectations regarding the potential beneficial health impacts of UBI on their communities mapped strongly onto academically theorized impact pathways. They also extended understanding of these pathways in meaningful ways. Our findings add to the literature about UBI and health and provide important insights for the future development of empirical, health focused, UBI research.

Family poverty over the early life course and adult experiences of intimate partner violence: a cohort study

OBJECTIVES

This study aimed to determine whether family poverty over the early childhood, adolescent, and adult periods of the life course independently predicts experiences of intimate partner violence (IPV) in adulthood.

STUDY DESIGN

This was a birth cohort study in Brisbane, Australia, with pregnant women recruited at their first booking-in visit and their children, followed up to 30 and 40 years of age.

METHODS

Family income was obtained from the mother when the child was 6 months, 5 and 14 years of age. Offspring reported their own family income at 21, 30, and 40 years of age. The offspring completed the Composite Abuse Scale at 30 and 40 years. Adjusted logistic regression models are used to predict experiences of IPV at 30 (n = 2157) and 40 (n = 1438) years.

RESULTS

The findings at 30 and 40 years of age are consistent. Only poverty experienced concurrently with the assessment of IPV is strongly associated. At the 40-year follow-up, family poverty predicts higher ratios of all four forms of IPV; severe combined abuse (odds ratio [OR] = 2.24, 95% confidence interval [CI] = 1.24, 4.05), physical abuse (OR = 3.37, 95% CI = 1.95, 5.82), emotional abuse (OR = 2.09, 95% CI = 2.58, 8.57) and harassment (OR = 4.70, 95% CI = 2.58, 8.57).

CONCLUSION

Concurrent family poverty is strongly and consistently associated with patterns of IPV. These associations are for cross-sectionally collected data with the prospectively collected data not replicating these findings. Although it is not possible to identify a specific causal pathway, the findings suggest that the immediate consequences of poverty are strongly associated with IPV. Programmes that address poverty reduction provide the best prospect for reducing societal levels of IPV.

Living on low-incomes with multiple long-term health conditions: A new method to explore the complex interaction between finance and health

People on low-incomes in the UK develop multiple long-term health conditions over 10 years earlier than affluent individuals. Financial diaries -new to public health- are used to explore the lived experiences of financially-vulnerable individuals, diagnosed with at least one long-term condition, living in two inner-city London Boroughs. Findings show that the health status of these individuals is a key barrier to work opportunities, undermining their income. Their precarious and uncertain financial situation, sometimes combined with housing issues, increased stress and anxiety which, in turn, contributed to further deteriorate participants' health. Long-term health conditions limited the strategies to overcome moments of financial crisis and diarists frequently used credit to cope. Restrictions to access reliable services and timely support were connected to the progression of multiple long-term conditions. Models that integrate healthcare, public health, welfare and financial support are needed to slow down the progression from one to many long-term health conditions.

A "food insecurity poverty line" to replace the official threshold in Canadian rural and urban settings? A single-person household perspective

Household food insecurity is associated with both low income and high cost of living, it is a potentially better measure for consumption compared to income. We use data on food insecurity and income from 10 years of the Canadian Community Health Survey (2007-2017) of single-person households (n = 145,044) to estimate the probability of being food insecure at the Canadian poverty thresholds (Market Basket Measure thresholds, or MBMs), and determine the income required to reach that probability in each MBM region, aggregated by province and rural/urban status. A regression model shows the probability of being food insecure at the MBM is approximately 30% which we call the Food Insecurity Poverty Line (FIPL). The income required to meet the FIPL is substantially different from the MBM, sometimes 1.25 times the MBM. This implies that food insecurity is a potential sentinel measure for poverty.

Effects of guaranteed basic income interventions on poverty-related outcomes in high-income countries: A systematic review and meta-analysis

Background

High-income countries offer social assistance (welfare) programs to help alleviate poverty for people with little or no income. These programs have become increasingly conditional and stringent in recent decades based on the premise that transitioning people from government support to paid work will improve their circumstances. However, many people end up with low-paying and precarious jobs that may cause more poverty because they lose benefits such as housing subsidies and health and dental insurance, while incurring job-related expenses. Conditional assistance programs are also expensive to administer and cause stigma. A guaranteed basic income (GBI) has been proposed as a more effective approach for alleviating poverty, and several experiments have been conducted in high-income countries to investigate whether GBI leads to improved outcomes compared to existing social programs.

Objectives

The aim of this review was to conduct a synthesis of quantitative evidence on GBI interventions in high-income countries, to compare the effectiveness of various types of GBI versus "usual care" (including existing social assistance programs) in improving poverty-related outcomes.

Search Methods

Searches of 16 academic databases were conducted in May 2022, using both keywords and database-specific controlled vocabulary, without limits or restrictions on language or date. Sources of gray literature (conference, governmental, and institutional websites) were searched in September 2022. We also searched reference lists of review articles, citations of included articles, and tables of contents of relevant journals in September 2022. Hand searching for recent publications was conducted until December 2022.

Selection Criteria

We included all quantitative study designs except cross-sectional (at one timepoint), with or without control groups. We included studies in high income countries with any population and with interventions meeting our criteria for GBI: unconditional, with regular payments in cash (not in-kind) that were fixed or predictable in amount. Although two primary outcomes of interest were selected a priori (food insecurity, and poverty level assessed using official, national, or international measures), we did not screen studies on the basis of reported outcomes because it was not possible to define all potentially relevant poverty-related outcomes in advance.

Data Collection and Analysis

We followed the Campbell Collaboration conduct and reporting guidelines to ensure a rigorous methodology. The risk of bias was assessed across seven domains: confounding, selection, attrition, motivation, implementation, measurement, and analysis/reporting. We conducted meta-analyses where results could be combined; otherwise, we presented the results in tables. We reported effect estimates as standard mean differences (SMDs) if the included studies reported them or provided sufficient data for us to calculate them. To compare the effects of different types of interventions, we developed a GBI typology based on the characteristics of experimental interventions as well as theoretical conceptualizations of GBI. Eligible poverty-related outcomes were classified into categories and sub-categories, to facilitate the synthesis of the individual findings. Because most of the included studies analyzed experiments conducted by other researchers, it was necessary to divide our analysis according to the "experiment" stage (i.e., design, recruitment, intervention, data collection) and the "study" stage (data analysis and reporting of results).

Main Results

Our searches yielded 24,476 records from databases and 80 from other sources. After screening by title and abstract, the full texts of 294 potentially eligible articles were retrieved and screened, resulting in 27 included studies on 10 experiments. Eight of the experiments were RCTs, one included both an RCT site and a "saturation" site, and one used a repeated cross-sectional design. The duration ranged from one to 5 years. The control groups in all 10 experiments received "usual care" (i.e., no GBI intervention). The total number of participants was unknown because some of the studies did not report exact sample sizes. Of the studies that did, the smallest had 138 participants and the largest had 8019. The risk of bias assessments found "some concerns" for at least one domain in all 27 studies and "high risk" for at least one domain in 25 studies. The risk of bias was assessed as high in 21 studies due to attrition and in 22 studies due to analysis and reporting bias. To compare the interventions, we developed a classification framework of five GBI types, four of which were implemented in the experiments, and one that is used in new experiments now underway. The included studies reported 176 poverty-related outcomes, including one pre-defined primary outcome: food insecurity. The second primary outcome (poverty level assessed using official, national, or international measures) was not reported in any of the included studies. We classified the reported outcomes into seven categories: food insecurity (as a category), economic/material, physical health, psychological/mental health, social, educational, and individual choice/agency. Food insecurity was reported in two studies, both showing improvements (SMD = -0.57, 95% CI: -0.65 to -0.49, and SMD = -0.41, 95% CI: -0.57 to -0.26) which were not pooled because of different study designs. We conducted meta-analyses on four secondary outcomes that were reported in more than one study: subjective financial well-being, self-rated overall physical health, self-rated life satisfaction, and self-rated mental distress. Improvements were reported, except for overall physical health or if the intervention was similar to existing social assistance. The results for the remaining 170 outcomes, each reported in only one study, were summarized in tables by category and subcategory. Adverse effects were reported in some studies, but only for specific subgroups of participants, and not consistently, so these results may have been due to chance.

Authors' Conclusions

The results of the included studies were difficult to synthesize because of the heterogeneity in the reported outcomes. This was due in part to poverty being multidimensional, so outcomes covered various aspects of life (economic, social, psychological, educational, agency, mental and physical health). Evidence from future studies would be easier to assess if outcomes were measured using more common, validated instruments. Based on our analysis of the included studies, a supplemental type of GBI (provided along with existing programs) may be effective in alleviating poverty-related outcomes. This approach may also be safer than a wholesale reform of existing social assistance approaches, which could have unintended consequences.

Youth not engaged in education, employment, or training: a discrete choice experiment of service preferences in Canada

BACKGROUND

Prior research has showed the importance of providing integrated support services to prevent and reduce youth not in education, employment, or training (NEET) related challenges. There is limited evidence on NEET youth's perspectives and preferences for employment, education, and training services. The objective of this study was to identify employment, education and training service preferences of NEET youth. We acknowledge the deficit-based lens associated with the term NEET and use 'upcoming youth' to refer to this population group.

METHODS

Canadian youth (14-29 years) who reported Upcoming status or at-risk of Upcoming status were recruited to the study. We used a discrete choice experiment (DCE) survey, which included ten attributes with three levels each indicating service characteristics. Sawtooth software was used to design and administer the DCE. Participants also provided demographic information and completed the Global Appraisal of Individual Needs-Short Screener. We analyzed the data using hierarchical Bayesian methods to determine service attribute importance and latent class analyses to identify groups of participants with similar service preferences.

RESULTS

A total of n=503 youth participated in the study. 51% of participants were 24-29 years of age; 18.7% identified as having Upcoming status; 41.1% were from rural areas; and 36.0% of youth stated that they met basic needs with a little left. Participants strongly preferred services that promoted life skills, mentorship, basic income, and securing a work or educational placement. Three latent classes were identified and included: (i) job and educational services (38.9%), or services that include career counseling and securing a work or educational placement; (ii) mental health and wellness services (34.9%), or services that offer support for mental health and wellness in the workplace and free mental health and substance use services; and (iii) holistic skills building services (26.1%), or services that endorsed skills for school and job success, and life skills.

CONCLUSIONS

This study identified employment, education, and training service preferences among Upcoming youth. The findings indicate a need to create a service model that supports holistic skills building, mental health and wellness, and long-term school and job opportunities.

How an increase in income affects the use of dental care services among a low-income population: evidence from the Finnish basic income experiment

BACKGROUND

Previous research has shown that the use of dental care services has a significant socioeconomic gradient. Lower income groups tend to use dental care services less, and they often have poorer dental health than higher income groups. The purpose of this study is to evaluate how an increase in income affects the use of dental care services among a low-income population.

METHODS

The study examines the causal effect of increasing cash transfers on the use of dental care services by utilizing unique register-based data from a randomized field experiment conducted in Finland in 2017-2018. The Finnish basic income experiment introduced an exogenous increase in the income of persons who previously received basic unemployment benefits. Register-based data on the study population's use of public and private dental care services were collected both for the treatment group (N = 2,000) and the control group (N = 173,222) of the experiment over a five-year period 2015-2019: two years before, two years during, and one year after the experiment. The experiment's average treatment effect on the use of dental care services was estimated with OLS regressions.

RESULTS

The Finnish basic income experiment had no detectable effect on the overall use of dental care services. However, it decreased the probability of visiting public dental care (-2.7% points, -4.7%, p =.017) and increased the average amount of out-of-pocket spending on private care (12.1 euros, 29.8%, p =.032). The results suggest that, even in a country with a universal public dental care coverage, changes in cash transfers do affect the dental care patterns of low-income populations.

Lung Disease and Social Justice: Chronic Obstructive Pulmonary Disease as a Manifestation of Structural Violence

Lung health, the development of lung disease, and how well a person with lung disease is able to live all depend on a wide range of societal factors. These systemic factors that adversely affect people and cause injustice can be thought of as "structural violence." To make the causal processes relating to chronic obstructive pulmonary disease (COPD) more apparent, and the responsibility to interrupt or alleviate them clearer, we have developed a taxonomy to describe this. It contains five domains: 1) avoidable lung harms (processes impacting lung development, processes that disadvantage lung health in particular groups across the life course), 2) diagnostic delay (healthcare factors; norms and attitudes that mean COPD is not diagnosed in a timely way, denying people with COPD effective treatment), 3) inadequate COPD care (ways in which the provision of care for people with COPD falls short of what is needed to ensure they are able to enjoy the best possible health, considered as healthcare resource allocation and norms and attitudes influencing clinical practice), 4) low status of COPD (ways COPD as a condition and people with COPD are held in less regard and considered less of a priority than other comparable health problems), and 5) lack of support (factors that make living with COPD more difficult than it should be, i.e., socioenvironmental factors and factors that promote social isolation). This model has relevance for policymakers, healthcare professionals, and the public as an educational resource to change clinical practices and priorities and stimulate advocacy and activism with the goal of the elimination of COPD.

Short-term impacts of Universal Basic Income on population mental health inequalities in the UK: A microsimulation modelling study

BACKGROUND

Population mental health in the United Kingdom (UK) has deteriorated, alongside worsening socioeconomic conditions, over the last decade. Policies such as Universal Basic Income (UBI) have been suggested as an alternative economic approach to improve population mental health and reduce health inequalities. UBI may improve mental health (MH), but to our knowledge, no studies have trialled or modelled UBI in whole populations. We aimed to estimate the short-term effects of introducing UBI on mental health in the UK working-age population.

METHODS AND FINDINGS

Adults aged 25 to 64 years were simulated across a 4-year period from 2022 to 2026 with the SimPaths microsimulation model, which models the effects of UK tax/benefit policies on mental health via income, poverty, and employment transitions. Data from the nationally representative UK Household Longitudinal Study were used to generate the simulated population (n = 25,000) and causal effect estimates. Three counterfactual UBI scenarios were modelled from 2023: "Partial" (value equivalent to existing benefits), "Full" (equivalent to the UK Minimum Income Standard), and "Full+" (retaining means-tested benefits for disability, housing, and childcare). Likely common mental disorder (CMD) was measured using the General Health Questionnaire (GHQ-12, score ≥4). Relative and slope indices of inequality were calculated, and outcomes stratified by gender, age, education, and household structure. Simulations were run 1,000 times to generate 95% uncertainty intervals (UIs). Sensitivity analyses relaxed SimPaths assumptions about reduced employment resulting from Full/Full+ UBI. Partial UBI had little impact on poverty, employment, or mental health. Full UBI scenarios practically eradicated poverty but decreased employment (for Full+ from 78.9% [95% UI 77.9, 79.9] to 74.1% [95% UI 72.6, 75.4]). Full+ UBI increased absolute CMD prevalence by 0.38% (percentage points; 95% UI 0.13, 0.69) in 2023, equivalent to 157,951 additional CMD cases (95% UI 54,036, 286,805); effects were largest for men (0.63% [95% UI 0.31, 1.01]) and those with children (0.64% [95% UI 0.18, 1.14]). In our sensitivity analysis assuming minimal UBI-related employment impacts, CMD prevalence instead fell by 0.27% (95% UI -0.49, -0.05), a reduction of 112,228 cases (95% UI 20,783, 203,673); effects were largest for women (-0.32% [95% UI -0.65, 0.00]), those without children (-0.40% [95% UI -0.68, -0.15]), and those with least education (-0.42% [95% UI -0.97, 0.15]). There was no effect on educational mental health inequalities in any scenario, and effects waned by 2026. The main limitations of our methods are the model's short time horizon and focus on pathways from UBI to mental health solely via income, poverty, and employment, as well as the inability to integrate macroeconomic consequences of UBI; future iterations of the model will address these limitations.

CONCLUSIONS

UBI has potential to improve short-term population mental health by reducing poverty, particularly for women, but impacts are highly dependent on whether individuals choose to remain in employment following its introduction. Future research modelling additional causal pathways between UBI and mental health would be beneficial.

Prevalence, correlates, and quality-of-life outcomes of major or persistent pain among women living with HIV in Metro Vancouver, Canada

While women living with HIV (WLWH) are twice as likely to report severe or undertreated chronic pain compared to men, little is known about pain among WLWH. Our goal was to characterize the correlates of pain as well as its impact on quality-of-life outcomes among women enrolled in the Sexual Health and HIV/AIDS Women's Longitudinal Needs Assessment (SHAWNA), an open longitudinal study of WLWH accessing care in Metro Vancouver, Canada. We conducted logistic regression analyses to identify associations between self-reported major or persistent pain with sociostructural and psychosocial correlates and with quality-of-life outcomes. Data are presented as adjusted odds ratios (aORs) with 95% confidence intervals. Among 335 participants, 77.3% reported pain at ≥ 1 study visit, with 46.3% experiencing any undiagnosed pain and 53.1% managing pain with criminalized drugs. In multivariable analysis, age (aOR 1.04[1.03-1.06] per year increase), food and housing insecurity (aOR 1.54[1.08-2.19]), depression diagnosis (aOR 1.34[1.03-1.75]), suicidality (aOR 1.71[1.21-2.42]), and non-daily, non-injection opioid use (aOR 1.53[1.07-2.17]) were associated with higher odds of pain. Daily non-injection opioid use (aOR 0.46[0.22-0.96]) and health services access (aOR 0.63[0.44-0.91]) were associated with lower odds of pain. In separate multivariable confounder models, pain was associated with reduced odds of good self-rated health (aOR 0.64[0.48-0.84] and increased odds of health interference with social activities (aOR 2.21[1.63-2.99]) and general function (aOR 3.24[2.54-4.13]). In conclusion, most WLWH in our study reported major or persistent pain. Pain was commonly undiagnosed and associated with lower quality of life. We identified structural and psychosocial factors associated with pain in WLWH, emphasizing the need for low-barrier, trauma-informed, and harm reduction-based interventions.

Social Vulnerability and Firearm Violence: Geospatial Analysis of 5 US Cities

BACKGROUND

Firearm violence is now endemic to certain US neighborhoods. Understanding factors that impact a neighborhood's susceptibility to firearm violence is crucial for prevention. Using a nationally standardized measure to characterize community-level firearm violence risk has not been broadly studied but could enhance prevention efforts. Thus, we sought to examine the association between firearm violence and the social, structural, and geospatial determinants of health, as defined by the Social Vulnerability Index (SVI).

STUDY DESIGN

In this cross-sectional study, we merged 2018 SVI data on census tract with shooting incidents between 2015 and 2021 from Baltimore, Chicago, Los Angeles, New York City, and Philadelphia. We used negative binomial regression to associate the SVI with shooting incidents per 1,000 people in a census tract. Moran's I statistics and spatial lag models were used for geospatial analysis.

RESULTS

We evaluated 71,296 shooting incidents across 4,415 census tracts. Fifty-five percent of shootings occurred in 9.4% of census tracts. In all cities combined, a decile rise in SVI resulted in a 37% increase in shooting incidents (p < 0.001). A similar relationship existed in each city: 30% increase in Baltimore (p < 0.001), 50% in Chicago (p < 0.001), 28% in Los Angeles (p < 0.001), 34% in New York City (p < 0.001), and 41% in Philadelphia (p < 0.001). Shootings were highly clustered within the most vulnerable neighborhoods.

CONCLUSIONS

In 5 major US cities, firearm violence was concentrated in neighborhoods with high social vulnerability. A tool such as the SVI could be used to inform prevention efforts by directing resources to communities most in need and identifying factors on which to focus these programs and policies.

Upstream Determinants of Overweight and Obesity in Europe

PURPOSE OF REVIEW

To review the upstream determinants of overweight and obesity in Europe, including food and built environments, and political, commercial, and socioeconomic determinants.

RECENT FINDINGS

Overweight and obesity affect 60% of European adults, and one in three children, and are more common in individuals with low compared to high socioeconomic position (SEP). Individuals in low SEP groups are more exposed to unhealthy built and food environments, including higher exposure to unhealthy food marketing. Industries influencing the food system have much economic power, resulting in ignoring or silencing the role of ultra-processed foods and commercial practices in weight gain. Overall, effective policies to address overweight and obesity have been insufficiently implemented by governments. To accelerate implementation, strengthened political commitment is essential. Policies must also focus on the upstream, structural, and systemic drivers of overweight and obesity; be comprehensive; and target socioeconomic inequalities in diets and physical activity.

Impact Evaluation of Cash-For-Care in Latin America's New Long-Term Care Policies: A Randomized Controlled Trial Pilot Study in Costa Rica

Latin America is aging rapidly. Thus, governments in the region are reformulating their social protection policies. In 2022, Costa Rica passed a national long-term care law. A discussion developed on how to provide such care, whether through public or private in-kind benefits or cash-for-care (CfC) to beneficiaries. CfC has been used in developed countries with various outcomes. However, there are still no evaluations of its effects in middle-income countries. The objective of this study was to evaluate the impact of CfC pilot study on female caregivers in a middle-income country. The expectations of the program were to find positive effects of CfC on caregivers. After conducting a literature review, we developed four domains of analysis: labor market participation, time for personal activities, use of CfC, and caregiver burnout. The results indicate that CfC has no significant impact on caregivers' integration into the labor market, or ability to have leisure time. However, there was a positive effect on the funding of basic needs and mitigation of factors predicting burnout.

Quantifying the mental health and economic impacts of prospective Universal Basic Income schemes among young people in the UK: a microsimulation modelling study

OBJECTIVE

Universal Basic Income (UBI)-a largely unconditional, regular payment to all adults to support basic needs-has been proposed as a policy to increase the size and security of household incomes and promote mental health. We aimed to quantify its long-term impact on mental health among young people in England.

METHODS

We produced a discrete-time dynamic stochastic microsimulation that models a close-to-reality open cohort of synthetic individuals (2010-2030) based on data from Office for National Statistics and Understanding Society. Three UBI scheme scenarios were simulated: Scheme 1-Starter (per week): £41 per child; £63 per adult over 18 and under 65; £190 per adult aged 65+; Scheme 2-Intermediate (per week): £63 per child; £145 per adult under 65; £190 per adult aged 65+; Scheme 3-Minimum Income Standard level (per week): £95 per child; £230 per adult under 65; £230 per adult aged 65+. We reported cases of anxiety and depression prevented or postponed and cost savings. Estimates are rounded to the second significant digit.

RESULTS

Scheme 1 could prevent or postpone 200 000 (95% uncertainty interval: 180 000 to 210 000) cases of anxiety and depression from 2010 to 2030. This would increase to 420 000(400 000 to 440 000) for Scheme 2 and 550 000(520 000 to 570 000) for Scheme 3. Assuming that 50% of the cases are diagnosed and treated, Scheme 1 could save £330 million (£280 million to £390 million) to National Health Service (NHS) and personal social services (PSS), over the same period, with Scheme 2 (£710 million (£640 million to £790 million)) or Scheme 3 (£930 million (£850 million to £1000 million)) producing more considerable savings. Overall, total cost savings (including NHS, PSS and patients' related costs) would range from £1.5 billion (£1.2 billion to £1.8 billion) for Scheme 1 to £4.2 billion (£3.7 billion to £4.6 billion) for Scheme 3.

CONCLUSION

Our modelling suggests that UBI could substantially benefit young people's mental health, producing substantial health-related cost savings.

How, why and for whom does a basic income contribute to health and wellbeing: a systematic review

Ensuring that people have a sufficient income to meet their basic needs and that it keeps pace with costs of living are important when considering ways to reduce health inequities. Many have argued that providing a basic income is one way to do this. The aim of this review is to provide an overview of the existing peer reviewed evidence on the health and wellbeing impacts of basic income interventions. A systematic search of ten electronic databases was conducted in June 2022. Eligible publications examined any effect on health and wellbeing from unconditional cash transfers. All study designs were included, and no limitations were placed on duration of cash transfer trials, location of study, study population or on amount of money provided through the cash transfer. Ten studies were included in this review. Studies employed a range of methods. All studies reported on a trial of Universal Basic Income in either a region or a town. Studies explored a range of health and wellbeing related outcomes including crime, quality of life, employment, subjective wellbeing, tuberculosis and hospitalization. Basic income programs can mitigate poverty in a time of economic upheaval and have the potential to become a powerful policy tool to act upon the determinants of health and reduce health inequality. This review found a small number of trials indicating a positive impact on health and wellbeing. More trials which track recipients over a longer period are needed to provide more robust evidence for the impact of basic income programs.

Social Vulnerability Index is strongly associated with urban pediatric firearm violence: An analysis of five major US cities

BACKGROUND

Firearm-related injury in children is a public health crisis. The Social Vulnerability Index (SVI) identifies communities at risk for adverse effects due to natural or human-caused crises. We sought to determine if SVI was associated with pediatric firearm-related injury and thus could assist in prevention planning.

METHODS

The Centers for Disease Control and Prevention's 2018 SVI data were merged on census tract with 2015 to 2022 open-access shooting incident data in children 19 years or younger from Baltimore, Chicago, Los Angeles, New York City, and Philadelphia. Regression analyses were performed to uncover associations between firearm violence, SVI, SVI themes, and social factors at the census tract level.

RESULTS

Of 11,654 shooting incidents involving children, 52% occurred in just 6.7% of census tracts, which were on average in the highest quartile of SVI. A decile increase in SVI was associated with a 45% increase in pediatric firearm-related injury in all cities combined (incidence rate ratio, 1.45; 95% confidence interval, 1.41-1.49; p < 0.001). A similar relationship was found in each city: 30% in Baltimore, 51% in Chicago, 29% in Los Angeles, 37% in New York City, and 35% in Philadelphia (all p < 0.001). Socioeconomic status and household composition were SVI themes positively associated with shootings in children, as well as the social factors below poverty, lacking a high school diploma, civilian with a disability, single-parent household, minority, and no vehicle access. Living in areas with multi-unit structures, populations 17 years or younger, and speaking English less than well were negatively associated.

CONCLUSION

Geospatial disparities exist in pediatric firearm-related injury and are significantly associated with neighborhood vulnerability. We demonstrate a strong association between SVI and pediatric shooting incidents in multiple major US cities. Social Vulnerability Index can help identify social and structural factors, as well as geographic areas, to assist in developing meaningful and targeted intervention and prevention efforts.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

Reconsidering economic interventions to reduce oral health inequalities

Despite the general recognition of economic factors as fundamental upstream social determinants of health inequalities, interventions to improve health and reduce inequalities tend to focus on proximal health determinants. However, recent socioeconomic crises have increased the focus on economic factors. Health-related approaches to address economic factors can be divided into two categories: (1) indirect approaches, such as financial support for obtaining dental care and fiscal policies targeting unhealthy commodities and (2) direct approaches, such as cash transfers or provision of a universal basic income. For indirect approaches, policies reducing out-of-pocket payments for dental care appear to improve access to services and reduce oral health inequalities. Price policies targeting tobacco and sugar through taxation are associated with declines in periodontal disease and caries, and sugar taxation appears to reduce oral health inequalities. As regards direct approaches, studies on cash transfers to low-income individuals have found no positive impact on dental visits, while results in relation to caries prevention were inconclusive. No dental studies examined the effect of a population approach to income security, such as basic income. Research on economic interventions for oral health inequalities is scarce, and studies using causal inference methods and natural experiments are urgently needed.

Identifying opportunities for upstream evaluations relevant to child and maternal health: a UK policy-mapping review

OBJECTIVE

Interventions to tackle the social determinants of health can improve outcomes during pregnancy and early childhood, leading to better health across the life course. Variation in content, timing and implementation of policies across the 4 UK nations allows for evaluation. We conducted a policy-mapping review (1981-2021) to identify relevant UK early years policies across the social determinants of health framework, and determine suitable candidates for evaluation using administrative data.

METHODS

We used open keyword and category searches of UK and devolved Government websites, and hand searched policy reviews. Policies were rated and included using five criteria: (1) Potential for policy to affect maternal and child health outcomes; (2) Implementation variation across the UK; (3) Population reach and expected effect size; (4) Ability to identify exposed/eligible group in administrative data; (5) Potential to affect health inequalities. An expert consensus workshop determined a final shortlist.

RESULTS

336 policies and 306 strategy documents were identified. Policies were mainly excluded due to criteria 2-4, leaving 88. The consensus workshop identified three policy areas as suitable candidates for natural experiment evaluation using administrative data: pregnancy grants, early years education and childcare, and Universal Credit.

CONCLUSION

Our comprehensive policy review identifies valuable opportunities to evaluate sociostructural impacts on mother and child outcomes. However, many potentially impactful policies were excluded. This may lead to the inverse evidence law, where there is least evidence for policies believed to be most effective. This could be ameliorated by better access to administrative data, staged implementation of future policies or alternative evaluation methods.

Mixed Signals in Child and Adolescent Mental Health and Well-Being Indicators in the United States: A Call for Improvements to Population Health Monitoring

Policy Points Social indicators of young peoples' conditions and circumstances, such as high school graduation, food insecurity, and smoking, are improving even as subjective indicators of mental health and well-being have been worsening. This divergence suggests policies targeting the social indicators may not have improved overall mental health and well-being. There are several plausible reasons for this seeming contradiction. Available data suggest the culpability of one or several common exposures poorly captured by existing social indicators. Resolving this disconnect requires significant investments in population-level data systems to support a more holistic, child-centric, and up-to-date understanding of young people's lives.

A muti-informant national survey on the impact of COVID-19 on mental health symptoms of parent-child dyads in Canada

The COVID-19 pandemic negatively impacted the mental health of children, youth, and their families which must be addressed and prevented in future public health crises. Our objective was to measure how self-reported mental health symptoms of children/youth and their parents evolved during COVID-19 and to identify associated factors for children/youth and their parents including sources accessed for information on mental health. We conducted a nationally representative, multi-informant cross-sectional survey administered online to collect data from April to May 2022 across 10 Canadian provinces among dyads of children (11-14 years) or youth (15-18 years) and a parent (> 18 years). Self-report questions on mental health were based on The Partnership for Maternal, Newborn & Child Health and the World Health Organization of the United Nations H6+ Technical Working Group on Adolescent Health and Well-Being consensus framework and the Coronavirus Health and Impact Survey. McNemar's test and the test of homogeneity of stratum effects were used to assess differences between children-parent and youth-parent dyads, and interaction by stratification factors, respectively. Among 933 dyads (N = 1866), 349 (37.4%) parents were aged 35-44 years and 485 (52.0%) parents were women; 227 (47.0%) children and 204 (45.3%) youth were girls; 174 (18.6%) dyads had resided in Canada < 10 years. Anxiety and irritability were reported most frequently among child (44, 9.1%; 37, 7.7%) and parent (82, 17.0%; 67, 13.9%) dyads, as well as among youth (44, 9.8%; 35, 7.8%) and parent (68, 15.1%; 49, 10.9%) dyads; children and youth were significantly less likely to report worsened anxiety (p < 0.001, p = 0.006, respectively) or inattention (p < 0.001, p = 0.028, respectively) compared to parents. Dyads who reported financial or housing instability or identified as living with a disability more frequently reported worsened mental health. Children (96, 57.1%), youth (113, 62.5%), and their parents (253, 62.5%; 239, 62.6%, respectively) most frequently accessed the internet for mental health information. This cross-national survey contextualizes pandemic-related changes to self-reported mental health symptoms of children, youth, and families.

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.

Effect of Canada Child Benefit on Food Insecurity: A Propensity Score-Matched Analysis

INTRODUCTION

Food insecurity-the inadequate access to food due to financial constraints-affects 1 in 6 households in Canada, with serious health implications. Family benefit programs supplementing income have shown potential in mitigating the risk of food insecurity, but there is little understanding of their protective effects. The authors aimed to estimate the impacts of the additional Canada Child Benefit provided to families with children aged <6 years on household food insecurity.

METHODS

The authors sampled 28,435 households receiving Canada Child Benefit with children aged <8 years from the Canadian Income Survey 2018-2020 fielded in 2019-2021 and analyzed in 2022. Households without children aged <6 years were 1:1 propensity-score matched to those with children aged <6 years, who received up to $1,068 in additional Canada Child Benefit per child annually. The authors compared the 2 groups' 12-month food insecurity likelihood after matching. Subsample analyses were performed by household income, housing tenure, and household type.

RESULTS

Receipt of the additional Canada Child Benefit ($724 on average) was associated with 2.89 (95% CI=1.35, 4.42) percentage points lower probability of experiencing food insecurity among recipients with children aged <6 years (from 24.30% to 21.42%). The association was similar across socioeconomic subgroups and significant among all but high-income earners and mortgage-free homeowners.

CONCLUSIONS

The authors found plausibly causal evidence that the more generous Canada Child Benefit for Canadian families with young children reduces their probability of food insecurity. Increasing benefits for economically disadvantaged households, characterized by low incomes, single parenthood, and renting (versus owning), may improve the program's efficiency and equity in supporting families' food security.

The role of social deprivation and depression in dementia risk: findings from the longitudinal survey of health, ageing and retirement in Europe

AIMS

Knowledge on the link of individual social deprivation with dementia is incomplete. We thus aimed to see whether an association with dementia risk can be observed using a recently developed Social Deprivation Index (SoDep Index). Further, as deprivation is related to depression, we investigated the role of depression in the association.

METHODS

We analysed data of 11 623 Survey of Health, Ageing and Retirement in Europe (SHARE) respondents. Social deprivation status was determined by SoDep Index score. Dementia was determined by self-reported diagnosis. Dementia risk by social deprivation status was estimated using Cox proportional hazard models, including relevant covariates (gender, marriage status, chronic conditions). Depressive symptom status was added in a second step. Further, we completed subgroup analyses by social deprivation status and analysed the relevance of depressive symptoms in dementia risk in each deprivation group. In an additional sensitivity analyses we corrected for mortality and used impaired cognitive testing performance as an alternative outcome.

RESULTS

High (v. low) social deprivation status was associated with an increased dementia risk (hazard ratio (HR) = 1.79 [95% CI 1.31-2.45]) in the Cox analysis adjusted for covariates only. Further adjustment for depressive symptom status indicated a largely direct association between social deprivation status and dementia risk. Moreover, compared to not having experienced depressive symptoms in the past or at baseline, those with past (HR = 1.67 [95% CI 1.23-2.25]), baseline (HR = 1.48 [95% CI 1.04-2.10]) or stable depressive symptoms (HR = 2.96 [95% CI 2.12-4.14]) had an increased dementia risk. The association between stable depressive symptom status and dementia risk was in the high social deprivation subgroup particularly pronounced. Sensitivity analyses replicated results.

CONCLUSIONS

Results add to a growing body of evidence indicating that a public health approach to dementia prevention must address socioeconomic inequity. Results suggest a largely direct association between social deprivation and dementia risk. Adults who experience high social deprivation appear particularly affected by detrimental effects of depressive symptomatology on dementia risk and need intervention.

Beyond Housing for Health: Using Flexible Funds to Improve Maternal and Child Health

Upstreaming Housing for Health (UHfH) was a pilot program that aimed to improve housing stability and reduce health inequities among people experiencing high-risk pregnancies and their infants. It served 50 families from 2019 to 2020. One critical component of UHfH was an innovative flexible fund, which was originally designed to address housing stability (e.g., rent arrears) but expanded its scope to address material needs that promoted family stability within the context of their housing situation (e.g., housing safety or maternal-infant health while in shelter). Seventy-six percent of families accessed flexible funds for items such as rental assistance, cribs, and breast pumps, with average financial support of $1343 (standard deviation = $625). The flexible fund is an example of a cash transfer policy. Such policies have shown to positively impact family health and well-being in the USA and internationally. Similar funding should be considered as part of future programming to reduce housing instability and homelessness.

PROTOCOL: Effects of guaranteed basic income interventions on poverty-related outcomes in high-income countries: A systematic review

This is the protocol for a Campbell systematic review. The objectives are as follows: to appraise and synthesize the available quantitative evidence on GBI interventions in high-income countries, for the purpose of comparing the relative effectiveness of specific forms of GBI for alleviating poverty.

Derivation and validation of a predictive model for chronic stress in patients with cardiovascular disease

BACKGROUND

Chronic stress in patients with cardiovascular disease (CVD), including peripheral artery disease (PAD), is independently associated worse outcomes. A model that can reliably identify factors associated with risk of chronic stress in patients with CVD is needed.

METHODS

In a prospective myocardial infarction (MI) registry (TRIUMPH), we constructed a logistic regression model using 27 patient demographic, socioeconomic, and clinical factors, adjusting for site, to identify predictors of chronic stress over 1 year. Stress at baseline and at 1-, 6- and 12-month follow-up was measured using the 4-item Perceived Stress Scale (PSS-4) [range 0-16, scores ≥6 depicting high stress]. Chronic stress was defined as at least 2 follow-up PSS-4 scores ≥6. We identified and validated this final model in another prospective registry of patients with symptomatic PAD, the PORTRAIT study.

RESULTS

Our derivation cohort consisted of 4,340 patients with MI (mean age 59.1 ± 12.3 years, 33% females, 30% non-white), of whom 30% had chronic stress at follow-up. Of the 27 factors examined, female sex, current smoking, socioeconomic status, and economic burden due to medical care were positively associated with chronic stress, and ENRICHD Social Support Instrument (ESSI) score and age were inversely related to chronic stress. In the validation cohort of 797 PAD patients (mean age 68.6±9.7 years, 42% females, 28% non-white, 18% chronic stress) the c-statistic for the model was 0.77 and calibration was excellent.

CONCLUSIONS

We can reliably identify factors that are independently associated with risk of chronic stress in patients with CVD. As chronic stress is associated with worse outcomes in this population, our work identifies potential targets for interventions to as well as the patients that could benefit from these.

A historical review of performance appraisal of public hospitals in China from the perspective of historical institutionalism

The government performance appraisal of public hospitals serves as an effective management tool to promote high-quality development. It is also an important means of realizing the "Healthy China" initiative. Since the founding of the People's Republic of China, changes in performance appraisal have been divided into the following four periods: the early stage of performance appraisal (1949-1977), the exploration period (1978-2008), the development period (2009-2018), and the integration period (2019-present). This clarifies the regional practice of public hospital performance and identifies the institutional factors of the evolution. It also demonstrates that administrative forces, market-driving forces, and mission-driving forces combine to bring about change in the public hospital performance appraisal system. However, problems such as insufficient application of performance appraisal and coordination between health administrative departments and medical insurance departments still loom large.

Association of Food Insecurity with Mental Health Outcomes in Parents and Children

BACKGROUND

Food insecurity affects 13.7 million US households and is linked to poor mental health. Families shield children from food insecurity by sacrificing their nutritional needs, suggesting parents and children experience food insecurity differentially.

OBJECTIVE

To identify the associations of food insecurity and mental health outcomes in parents and children DATA SOURCES: PubMed, Embase, Web of Science, and PsycInfo STUDY ELIGIBILITY CRITERIA: We included original research published in English from January 1990 to June 2020 that examined associations between food insecurity and mental health in children or parents/guardians in the United States.

STUDY APPRAISAL AND SYNTHESIS METHODS

Two reviewers screened studies for inclusion. Data extraction was completed by one reviewer and checked by a second. Bias and confounding were assessed using the Agency for Healthcare Research and Quality RTI Item Bank. Studies were synthesized qualitatively, grouped by mental health outcome, and patterns were assessed. Meta-analyses were not performed due to high variability between studies.

RESULTS

We included 108 studies, assessing 250,553 parents and 203,822 children in total. Most studies showed a significant association between food insecurity and parental depression, anxiety, and stress, and between food insecurity and child depression, externalizing/internalizing behaviors, and hyperactivity.

LIMITATIONS

Most studies were cross-sectional and many were medium- or high-risk for bias or confounding.

CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS

Food insecurity is significantly associated with various mental health outcomes in both parents and children. The rising prevalence of food insecurity and mental health problems make it imperative that effective public health and policy interventions address both problems.

Belief traps: Tackling the inertia of harmful beliefs

Beliefs are a key element of healthy cognition. Yet overly rigid beliefs are the basis of societal problems including prejudices, psychiatric disorders, and conspiracy theories. Recent findings from neurobiology, psychiatry, and social sciences show how resilience of beliefs is boosted by stressful conditions. This implies the possibility of self-propelled societal deterioration where rigid beliefs harm the quality of personal and political decisions, evoking more-stressful conditions that further rigidify beliefs. Measures reducing social stress, including economic policies such as universal base income, may be the most effective ways to counteract this vicious cycle.

Beliefs can be highly resilient in the sense that they are not easily abandoned in the face of counterevidence. This has the advantage of guiding consistent behavior and judgments but may also have destructive consequences for individuals, nature, and society. For instance, pathological beliefs can sustain psychiatric disorders, the belief that rhinoceros horn is an aphrodisiac may drive a species extinct, beliefs about gender or race may fuel discrimination, and belief in conspiracy theories can undermine democracy. Here, we present a unifying framework of how self-amplifying feedbacks shape the inertia of beliefs on levels ranging from neuronal networks to social systems. Sustained exposure to counterevidence can destabilize rigid beliefs but requires organized rational override as in cognitive behavioral therapy for pathological beliefs or institutional control of discrimination to reduce racial biases. Black-and-white thinking is a major risk factor for the formation of resilient beliefs associated with psychiatric disorders as well as prejudices and conspiracy thinking. Such dichotomous thinking is characteristic of a lack of cognitive resources, which may be exacerbated by stress. This could help explain why conspiracy thinking and psychiatric disorders tend to peak during crises. A corollary is that addressing social factors such as poverty, social cleavage, and lack of education may be the most effective way to prevent the emergence of rigid beliefs, and thus of problems ranging from psychiatric disorders to prejudices, conspiracy theories, and posttruth politics.

Public perceptions of the effectiveness of income provision on reducing psychological distress

Purpose

The purpose of this paper is to understand public perceptions of the role of income for improving mental health, since public perceptions shape political decision-making. Socioeconomic determinants such as poverty cause a great deal of mental ill-health, yet it is not clear whether the general public believes this to be true. Lay understandings of health often overemphasize the roles of individual habits and medical treatments and underappreciate the importance of socioeconomic determinants.

Design/methodology/approach

UK adults (n = 622) rated effectiveness of three interventions for reducing psychological distress: medication, psychotherapy, and providing sufficient income to cover necessities via a basic income. We manipulated whether participants rated effectiveness for an identified individual vs. the population in general. Participants also indicated their support for the introduction of the basic income scheme.

Findings

Increasing income was rated highly effective for reducing psychological distress. Effectiveness ratings for income provision were as high as those for psychotherapy, and higher than those for medication. There was also an interaction with framing: in the population framing, income provision was rated more effective than either of the other two interventions. There were high levels of support for introducing a universal basic income scheme in this population.

Originality/value

UK adults anticipate that income provision would be highly effective at reducing psychological distress, as or more effective than increasing access to psychotherapy or medication. Policymakers can assume that the public will be receptive to arguments for mental health interventions that tackle broader socioeconomic determinants, especially when these are framed in population terms.

Estimation of Potential Deaths Averted From Hypothetical US Income Support Policies

Question

How many deaths among working-age US adults can hypothetical income support policies, such as universal basic income, the modified LIFT Act, poverty alleviation, and negative income tax, potentially avert?

Findings

In this multicohort modeling study that simulated US adults age 18 to 64 years over 5 to 40 years, broad income support policies, like universal basic income, were estimated to avert the most deaths among working-age adults, although targeted approaches, like poverty alleviation, may also avert thousands of deaths among low-income populations. Results were sensitive to several inputs, primarily the income group–specific mortality rates used.

Meaning

The results of this study suggest that income support policies may prevent thousands of deaths among working-age US adults.

Importance

Income has a negative, nonlinear association with all-cause mortality. Income support policies may prevent deaths among low-income populations by raising their incomes.

Objective

To estimate the deaths that could be averted among working-age adults age 18 to 64 years with hypothetical income support policies in the US.

Design, Setting, and Population

An open, multicohort life-table model was developed that simulated working-age adults age 18 to 64 years in the US over 5 to 40 years. Publicly available household income data and previous estimates of the income-mortality association were used to generate mortality rates by income group. Deterministic sensitivity analyses were conducted to evaluate the effect of parameter uncertainty and various model assumptions on the findings.

Interventions

In addition to a no-intervention scenario, 4 hypothetical income support policies were modeled: universal basic income, modified LIFT Act, poverty alleviation, and negative income tax.

Main Outcome and Measures

The main outcome was the number of deaths averted, which was calculated by subtracting the number of deaths experienced in the no-intervention scenario from the number of deaths experienced with the various income support policies.

Results

Base-case assumptions used average mortality rates by age, sex, and income group, a 20-year time horizon, and a 3-year lag time. Universal basic income worth $12 000 per year per individual was estimated to avert the most deaths among working-age adults (42 000-104 000 per year), followed by a negative income tax that guaranteed an income of 133% of the federal poverty level (19 000-67 000 per year). A modified LIFT Act that provided $6000 to individuals with annual household incomes less than $100 000 was estimated to avert 17 000 to 52 000 deaths per year. A targeted approach that alleviated poverty was estimated to prevent 12 000 to 32 000 deaths among the lowest-income, working-age adult population. Results were most sensitive to several inputs and assumptions, primarily the income-based mortality rates, analytic time horizon, and assumed time lag between when a policy was implemented and when individuals experienced the mortality benefit of having higher incomes.

Conclusions and Relevance

In this modeling study, 4 hypothetical income support policies were estimated to avert thousands of deaths among working-age US adults every year. Additional research is needed to understand the true association of income gains with mortality. Discussions about the costs and benefits of income support policies should include potential gains in health.

The Logic of Policies to Address Income-Related Health Inequity: A Problem-Oriented Approach

Policy Points  Income is a fundamental cause of health across the life course. To address income-related health inequities, we need a set of overlapping and complementary policy approaches rather than focusing on a single policy.  During their lives, individuals inhabit different roles with regard to their ability to earn wages, and at any given time, only about 50% of the US population are expected to earn wages, while the rest (e.g., children, older adults, those who are disabled, unemployed, students, and/or caregivers) are not.  Three key "branch points" for designing policy approaches to address income-related health inequity are (1) should the needed good or service be obtained on the market? (2) do policy beneficiaries currently earn income? and (3) have policy beneficiaries earned income previously? The responses to these questions suggest one of four policy approaches: social services, social enfranchisement, social insurance, or social assistance.

Association Between Self-Rated Political Orientation and Attitude Toward the Cash Transfer Policy During the COVID-19 Pandemic: A Nationwide Cross-Sectional Survey Conducted in South Korea

Objective

This study assessed the relationship between self-rated political orientation and attitude toward the cash transfer policy during the COVID-19 pandemic.

Methods

This cross-sectional study conducted in South Korea during the pandemic included a stratified sample of 1,004 respondents (aged 19 years and older). We tested the hypotheses that political orientation shapes attitudes toward social policies and that other socioeconomic factors might have relatively minor importance. Logistic regression was used to identify associations between political orientation and attitude toward the cash transfer policy. Average marginal effects were calculated to determine the effect size of each variable.

Results

Political orientation, age, and residential area were correlated with attitudes toward the policy. Compared to the conservatives, the non-committed and the moderate showed about 10% more favorable attitudes, and the progressive group showed robust support. People in their 30s and 40s showed similar attitudes to the 18-29 group, while older people showed much lower support. Compared to the Seoul metropolitan area, residents of the Ho-nam area showed favorable attitudes, and those of the Yeong-nam area had relatively unfavorable attitudes.

Conclusions

This study suggests that attitudes toward the cash transfer policy are mainly associated with political orientation. Although these results illuminate pandemics' social and political dimensions, further efforts are needed to fully understand the determinants and mechanisms of attitudes toward policies outside the traditional health policy scope.

Modelling Maternal Depression: An Agent-Based Model to Examine the Complex Relationship between Relative Income and Depression

Depression is a major public health concern among expectant mothers in Canada. Income inequality has been linked to depression, so interventions for reducing income inequality may reduce the prevalence of maternal depression. The current study aims to simulate the effects of government transfers and increases to minimum wage on depression in mothers. We used agent-based modelling techniques to identify the predicted effects of income inequality reducing programs on maternal depression. Model parameters were identified using the All Our Families cohort dataset and the existing literature. The mean age of our sample was 30 years. The sample was also predominantly white (78.6%) and had at least some post-secondary education (89.1%). When income was increased by just simulating an increase in minimum wage, the proportion of depressed mothers decreased by 2.9% (p < 0.005). Likewise, simulating the Canada Child Benefit resulted in a 5.0% decrease in the prevalence of depression (p < 0.001) and Ontario’s Universal Basic Income pilot project resulted in a simulated 5.6% decrease in the prevalence of depression (p < 0.001). We also assessed simulated changes to the mother’s social networks. Progressive income policies and increasing social networks are predicted to decrease the probability of depression.

Do the Determinants of Mental Wellbeing Vary by Housing Tenure Status? Secondary Analysis of a 2017 Cross-Sectional Residents Survey in Cornwall, South West England

Housing is a social determinant of health, comprising multiple interrelated attributes; the current study was developed to examine whether differences in mental wellbeing across housing tenure types might relate to individual, living, or neighbourhood circumstances. To achieve this aim, an exploratory cross-sectional analysis was conducted using secondary data from a county-wide resident survey undertaken by Cornwall Council in 2017. The survey included questions about individual, living, or neighbourhood circumstances, as well as mental wellbeing (Short Warwick-Edinburgh Mental Wellbeing Scale). A random sample of 30,152 households in Cornwall were sent the survey, from whom 11,247 valid responses were received (38% response), but only 4085 (13.5%) provided complete data for this study. Stratified stepwise models were estimated to generate hypotheses about inequalities in mental wellbeing related to housing tenure. Health, life satisfaction, and social connectedness were found to be universal determinants of mental wellbeing, whereas issues related to living circumstances (quality of housing, fuel poverty) were only found to be related to wellbeing among residents of privately owned and rented properties. Sense of safety and belonging (neighbourhood circumstances) were also found to be related to wellbeing, which together suggests that whole system place-based home and people/community-centred approaches are needed to reduce inequalities.

Glossary: economics and health

As we emerge from the COVID-19 pandemic, there is an increasing focus on how the economy is rebuilt and the impact this will have on population health. Many of the economic policy proposals being discussed have their own vocabulary, which is not always understood in the same way within or between disciplines. This glossary seeks to provide a common language and concise summary of the key economic terminology relevant for policymakers and public health at this time.

Trends in gender and socioeconomic inequalities in adolescent health over 16 years (2002-2018): findings from the Canadian Health Behaviour in School-aged Children study

INTRODUCTION

Monitoring health inequalities in adolescents informs policy approaches to reducing these inequalities early in the life course. The purpose of this study was to investigate trends in gender and socioeconomic inequalities in six health domains.

METHODS

Data were from five quadrennial survey cycles of the Health Behaviour in School-aged Children (HBSC) study in Canada (pooled n = 94 887 participants). Differences in health between socioeconomic groups (based on material deprivation) and between genders were assessed using slope and relative indices of inequality in six health domains: daily physical activity, excess body weight, frequent physical symptoms, frequent psychological symptoms, low life satisfaction, and fair or poor self-rated health.

RESULTS

Over a 16-year period, adolescents in Canada reported progressively worse health in four health domains, with those at the lowest socioeconomic position showing the steepest declines. Socioeconomic differences increased in excess body weight, physical symptoms, low life satisfaction, and fair or poor health. Gender differences also increased. Females showed poorer health than males in all domains except excess body weight, and gender differences increased over time in physical symptoms, psychological symptoms and low life satisfaction.

CONCLUSION

Socioeconomic and gender inequalities in health are persistent and widening among adolescents in Canada. Policies that address material and social factors that contribute to health disparities in adolescence are warranted.

Mostly worse, occasionally better: impact of COVID-19 pandemic on the mental health of Canadian children and adolescents

This large cross-sectional study examined the impact of COVID-19 emergency measures on child/adolescent mental health for children/adolescents with and without pre-existing psychiatric diagnoses. Using adapted measures from the CRISIS questionnaire, parents of children aged 6-18 (N = 1013; 56% male; 62% pre-existing psychiatric diagnosis) and self-reporting children/adolescents aged 10-18 (N = 385) indicated changes in mental health across six domains: depression, anxiety, irritability, attention, hyperactivity, and obsessions/compulsions. Changes in anxiety, irritability, and hyperactivity were calculated for children aged 2-5 years using the Strengths and Difficulties Questionnaire. COVID-19 exposure, compliance with emergency measures, COVID-19 economic concerns, and stress from social isolation were measured with the CRISIS questionnaire. Prevalence of change in mental health status was estimated for each domain; multinomial logistic regression was used to determine variables associated with mental health status change in each domain. Depending on the age group, 67-70% of children/adolescents experienced deterioration in at least one mental health domain; however, 19-31% of children/adolescents experienced improvement in at least one domain. Children/adolescents without and with psychiatric diagnoses tended to experience deterioration during the first wave of COVID-19. Rates of deterioration were higher in those with a pre-exiting diagnosis. The rate of deterioration was variable across different age groups and pre-existing psychiatric diagnostic groups: depression 37-56%, anxiety 31-50%, irritability 40-66%, attention 40-56%, hyperactivity 23-56%, obsessions/compulsions 13-30%. Greater stress from social isolation was associated with deterioration in all mental health domains (all ORs 11.12-55.24). The impact of pre-existing psychiatric diagnosis was heterogenous, associated with deterioration in depression, irritability, hyperactivity, obsession/compulsions for some children (ORs 1.96-2.23) but also with improvement in depression, anxiety, and irritability for other children (ORs 2.13-3.12). Economic concerns were associated with improvement in anxiety, attention, and obsessions/compulsions (ORs 3.97-5.57). Children/adolescents with and without pre-existing psychiatric diagnoses reported deterioration. Deterioration was associated with increased stress from social isolation. Enhancing social interactions for children/adolescents will be an important mitigation strategy for current and future COVID-19 waves.

How Income Influences Health: Decomposition Based on Absolute Income and Relative Income Effects

Previous research has confirmed a positive association between income and health, but there are still a lot of inconsistencies on how income affects health. Indeed, this impact is caused by overlaying of absolute income and relative income effects, and only by decomposing and comparing their relative importance within an integrated framework can suggestions be made for health inequalities and health intervention. To deal with this issue, using the panel data from the 2011, 2014, and 2017 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), a well-designed research model is established to decompose and explore the impact. Our results indicate that relative income, rather than absolute income, has a significant negative impact on health performance, and that these associations may be causal in nature. The health inequity persists throughout the life cycle, but it remains relatively stable, without significant expansion or convergence. To some extent, the research-proposed models enrich the related literature on associations between income and health, and the empirical results suggest that as China moves to the stage of higher incomes and accelerated aging, the Chinese government should pay more attention to income inequality and be alert to the risks of "income-healthy poverty" traps.

The financial coping strategies of US cancer patients and survivors

PURPOSE

Coping behaviors may play a mediating role in producing the negative health outcomes observed in financially burdened cancer patients and survivors.

METHODS

Exploratory factor and latent class analysis of survey data.

RESULTS

A total of 510 people completed the survey, ages ranged from 25 to over 75 [over half greater than 55 years old (57.8%)]. Most respondents identified as female (64.7%), white (70.8%), or African American (18.6%). A four-factor model of financial coping was revealed: care-altering, lifestyle-altering, self-advocacy, and financial help-seeking. Respondents grouped into three financial coping classes: low burden/low coping (n = 212), high self-advocacy (n = 143), and high burden/high coping (n = 155). African American respondents were at far greater odds than white respondents of being in the high burden/high coping class (OR = 5.82, 95% CI 3.01-6.64) or the self-advocacy class (OR = 1.99, 95% CI 1.19-2.80) than the low burden/low coping class. Compared to respondents aged 65 years and older, those 35-44 were more likely in the high burden/high coping class (OR = 12.27, 95% CI 7.03-19.87) and the high self-advocacy class (OR = 7.08, 95% CI 5.89-8.28) than the low burden/low coping class.

CONCLUSION

One-third of respondents were in the high burden/high coping class. Age and race/ethnicity were significantly associated with class membership. Some coping strategies may compromise health and well-being. Program and policy interventions that reduce the odds that patients will use strategies that undermine treatment outcomes and increase patient use of protective strategies are needed.

The mental health effects of a Universal Basic Income: A synthesis of the evidence from previous pilots

INTRODUCTION

Amongst its advocates, one of the key arguments for a Universal Basic Income (UBI) is its potential to improve population mental health. However, while previous authors have variously examined the potential effects of UBI on income, employment and labour market demand, the direct mental health consequences of previous pilots have been less frequently examined. The purpose of this paper is therefore to conduct a review of the literature on UBI and to re-examine the existing research with a mental health focus.

METHODS

Six electronic databases were used to conduct a review of the literature. We searched for empirical research studies of any design, conducted since the year 2000 in High Income Countries, exploring the effects of interventions similar to a UBI on the mental health of children or working-age adults. Grey literature and government reports were also included.

RESULTS

A total of 1566 articles were screened of which seven peer reviewed studies and eight governmental reports were ultimately selected for inclusion. None of the identified studies directly compared the impact of individual payments with those made on a household basis, or the effects of payments which were truly universal. However, several studies evaluated the mental health outcomes associated with payments provided unconditionally, and consistently reported clear and significant improvements in mental wellbeing. Potential mediating factors included improved time with family and friends, a reduction in perceived stigma and a renewed sense of hope for the future.

CONCLUSIONS

Our review has produced evidence to suggest that prophesies surrounding the mental health benefits of a UBI are at least partially justified. However, future studies should aim to be conducted at an area level, with an adequately powered sample size, and investigate interventions of a considerable duration using a longitudinal design.

Labor unions and health: A literature review of pathways and outcomes in the workplace

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Unique literature review links economic and epidemiologic studies on unions.

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Unions raise wages, decrease inequality, and thereby likely improve health.

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Unions decrease discrimination and affect other determinants of health.

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Unions improve workplace safety and health and decrease job-related fatalities.

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Unions are an underappreciated social determinant of health.

Extensive economic research demonstrates correlations between unions with wages, income inequality, health insurance, discrimination, and other factors. Corresponding epidemiologic literature demonstrates correlations between income, income inequality, insurance, discrimination, and other factors with health. The first purpose of this narrative review is to link these literatures and identify 28 possible pathways whereby labor unions might affect the health of workers. This review is restricted to effects within workplaces; we do not consider unions' political activities. This review covers studies from the US, Europe, and Canada from 1980 through April 1, 2021. Pathways are grouped within five domains informed by the CDC 5-domain model of social determinants of health and the traditional 3-domain model of occupational medicine. Linked pathways include wages, inequality, excessive overtime, job satisfaction, employer-provided health insurance (EPHI), and discrimination. Second, we identify studies analyzing correlations between unions directly with health outcomes that do not require links. Outcomes include occupational injuries, sickness absence, and drug overdose deaths. Third, we offer judgments on the strength of pathways and outcomes --- labeled “consensus,” “likely,” “disputed” or “unknown” --- based on literature summaries. In our view, whereas there are four “consensus” pathways and outcomes and 16 “likely” pathways and outcomes for unions improving health, there are no “consensus” or “likely” pathways for harming health. The strongest “consensus” pathways and outcomes with salubrious associations include EPHI, OSHA inspections, dangerous working conditions, and injury deaths. Fourth, we identify research gaps and suggest methods for future studies. Unions are an underappreciated social determinant of health.

A Retrospective Study of Demographic, Medical, and Psychological Predictors of Readiness in Service Members With Mild Traumatic Brain Injury

INTRODUCTION

Given the significant number of service members who have incurred mild traumatic brain injury (TBI) over the past two decades, this study was completed to determine the relative contribution of demographic, TBI-related, and psychological factors that predict the readiness of service members with primarily mild TBI.

METHODS AND MATERIALS

This retrospective study included 141 service members who were evaluated at an outpatient military TBI rehabilitation clinic. Information regarding demographics, TBI-related variables, and psychological factors was collected and entered into hierarchical multinomial logistic regressions to predict military work status. Demographic predictor variables included age, race, gender, rank, service branch; TBI-specific variables including time since injury and neuropsychological variables (i.e., Wechsler Adult Intelligence Scale-IV (WAIS-IV) Full Scale Intelligence Quotient (FSIQ) and Processing Speed Indices; California Verbal Learning Test-IV total recall t-score); and psychiatric variables including concomitant psychiatric diagnoses and Personality Assessment Inventory indices. The outcome variable was the service member's military work status (i.e., return to duty (RTD); Medical Evaluation Board-disabled (MEB); retired) at time of discharge from the TBI clinic.

RESULTS

Statistical analyses indicated that the total model predicted 31% of the variance in work status, with demographics predicting 16% of the variance, concomitant psychiatric diagnoses and WAIS-IV FSIQ predicting an additional 12%, and subjective somatic/psychological distress (Personality Assessment Inventory indices) predicting an additional 3%. Regarding the primary groups of interest (i.e., RTD vs. MEB), stepwise regressions indicated that those who RTD have higher intelligence and report less physical/psychological distress than the disabled group.

CONCLUSIONS

In general, those service members who were able to RTD versus those who were classified as disabled (MEB) were of higher IQ and reported less somatic/psychological distress. Of note, traditional indices of TBI severity did not predict the ability of the sample to RTD. The results suggest the importance of treating psychological conditions and identifying possible indicators of resilience (e.g., higher intelligence) to increase the readiness of service members with mild TBI.

Modelling the size, cost and health impacts of universal basic income: What can be done in advance of a trial?

Opposition to Universal Basic Income (UBI) is encapsulated by Martinelli’s claim that ‘an affordable basic income would be inadequate, and an adequate basic income would be unaffordable’. In this article, we present a model of health impact that transforms that assumption. We argue that UBI can affect higher level social determinants of health down to individual determinants of health and on to improvements in public health that lead to a number of economic returns on investment. Given that no trial has been designed and deployed with that impact in mind, we present a methodological framework for assessing prospective costs and returns on investment through modelling to make the case for that trial. We begin by outlining the pathways to health in our model of change in order to present criteria for establishing the size of transfer capable of promoting health. We then consider approaches to calculating cost in a UK context to estimate budgetary burdens that need to be met by the state. Next, we suggest means of modelling the prospective impact of UBI on health before asserting means of costing that impact, using a microsimulation approach. We then outline a set of fiscal options for funding any shortfall in returns. Finally, we suggest that fiscal strategy can be designed specifically with health impact in mind by modelling the impact of reform on health and feeding that data cyclically back into tax transfer module of the microsimulation.

What Are the Implications of Applying Equipoise in Planning Citizens Basic Income Pilots in Scotland?

We have been asked to consider the feasibility of piloting a Citizens’ Basic Income (CBI): a basic, unconditional, universal, individual, regular payment that would replace aspects of social security and be introduced alongside changes to taxes. Piloting and evaluating a CBI as a Cluster Randomized Control Trial (RCT) raises the question of whether intervention and comparison groups would be in equipoise, and thus whether randomization would be ethical. We believe that most researchers would accept that additional income, or reduced conditions on receiving income would be likely to improve health, especially at lower income levels. However, there are genuine uncertainties about the impacts on other outcomes, and CBI as a mechanism of providing income. There is also less consensus amongst civil servants and politicians about the impacts on health, and substantial disagreement about whether these would outweigh other impacts. We believe that an RCT is ethical because of these uncertainties. We also argue that the principle of equipoise should apply to randomized and non-randomized trials; that randomization is a fairer means of allocating to intervention and comparison groups; and that there is an ethical case for experimentation to generate higher-quality evidence for policymaking that may otherwise do harm.