Public hospital reform, family health consumption and health inequality: evidence from China Family Panel Studies.

Background: In 2017, China launched a comprehensive reform of public hospitals and eliminated drug markups, aiming to solve the problem of expensive medical treatment and allow poor and low-income people to enjoy basic health opportunities. This study attempts to evaluate the policy impact of public hospital reform on the health inequality of Chinese residents and analyze its micro-level mechanism from the perspective of household consumption structure. Studying the inherent causal connection between public hospital reform and health inequality is of paramount significance for strengthening China's healthcare policies, system design, raising the average health level of Chinese residents, and achieving the goal of ensuring a healthy life for individuals of all age groups. Methods: Based on the five waves of data from the China Family Panel Studies (CFPS) conducted in 2012-2020, We incorporates macro-level statistical indicators such as the time of public hospital reforms, health insurance surplus, and aging, generating 121,447 unbalanced panel data covering 27 provinces in China for five periods. This data was used to explore the impact of public hospital reform on health inequality. Logical and empirical tests were conducted to determine whether the reform, by altering family medical care and healthy leisure consumption expenditures, affects the micro-pathways of health inequality improvement. We constructed a two-way fixed model based on the re-centralized influence function (RIF_CI_OLS) and a chained mediation effects model to verify the hypotheses mentioned above. Results: Public hospital reform can effectively improve the health inequality situation among Chinese residents. The reform significantly reduces household medical expenses, increases healthy leisure consumption, promotes the upgrading of family health consumption structure, and lowers the health inequality index. In terms of indirect effects, the contribution of the increase in healthy leisure consumption is relatively greater. Conclusion: Public hospital reform significantly alleviates health inequality in China, with household health consumption serving as an effective intermediary pathway in the aforementioned impact. In the dual context of global digitization and exacerbated population aging, enhancing higher education levels and vigorously developing the health industry may be two key factors contributing to this effect.

Mapping intersectional sociodemographic inequalities in measurement and prevalence of depressive symptoms: A Intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (I-MAIHDA) using data from a population based nationwide survey in Germany.

OBJECTIVE: Understanding how social categories like gender, migration background, LGBT status (lesbian/gay/bisexual/transgender), education and their intersections affect health outcomes is crucial. Challenges include avoiding stereotypes and fairly assessing health outcomes. This paper aims to demonstrate how to analyse these aspects. STUDY DESIGN AND SETTING: The study used data from N=19,994 respondents from the German Socio-Economic Panel (SOEP) 2021 data collection. Variations between and within intersectional social categories regarding depressive symptoms and self-reported depression diagnosis were analyzed. We employed Intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (I-MAIHDA) to assess the impact of gender, LGBT status, migration, education and their interconnectedness. A Configuration-Frequency Analysis (CFA) assessed typicality of intersections. Differential Item Functioning (DIF) analysis was conducted to check for biases in questionnaire items. RESULTS: I-MAIHDA analysis revealed significant interactions between these categories for depressive symptoms and depression diagnosis. The CFA showed that certain combinations of social categories occurred less frequently compared to their expected distribution. The DIF analysis showed no significant bias in a depression short scale across social categories. CONCLUSION: Results reveal interconnectedness between the social categories, affecting depressive symptoms and depression probabilities. More privileged groups had significant protective effects while those with less societal privileges showed significant hazardous effects. Although statistical significance was found in interactions between categories, the variance within categories outweighs that between them, cautioning against individual-level conclusions.

School socioeconomic status and psychological complaints among adolescents in 44 countries: The mediating role of schoolwork pressure and classmate support and the moderating role of family SES and country-level income inequality.

Previous research has reported both positive and negative associations between school socioeconomic status (SES) and internalizing problems among adolescents. Little is known about cross-national differences in this association, as well as potential mediators and moderators. Therefore, this study investigated this association using representative cross-national samples of adolescents whilst exploring the mediating role of schoolwork pressure and classmate support, and the moderating role of family SES and country-level income inequality. Using data from adolescents aged 11-15 from 44 countries, participating in the 2017/2018 Health Behaviour in School-aged Children (HBSC) study (N = 202,202), we employed multilevel regression models with cross-level interactions. School SES was operationalized as the average family affluence of adolescents within a school and psychological complaints (e.g., feeling low/depressed) were used as an indication of internalizing problems. On average across countries, adolescents in higher SES schools reported more psychological complaints, with a large effect size. However, differences in this association were observed across countries, with a positive association in 19 out of 44 countries, a negative association in one country, and nonsignificant associations in the remaining countries. Schoolwork pressure partially mediated the average association between school SES and psychological complaints, as school SES was positively associated with schoolwork pressure which was associated with more psychological complaints. Our results did not support the mediating role of classmate support. Also, we found a moderating effect of family SES, indicating a stronger positive association between school SES and psychological complaints for those with a below average family SES compared to those with an average and above average family SES. No moderating effect was observed for country-level income inequality. These findings suggest that adolescents with low family SES attending higher SES schools are especially at risk for psychological complaints, and may therefore require tailored support. A promising strategy to reduce psychological complaints entails addressing schoolwork pressure.

The impact of regional disparities on the availability of meningococcal vaccines in the US.

BACKGROUND: In the United States (US), three types of vaccines are available to prevent invasive meningococcal disease (IMD), a severe and potentially fatal infection: quadrivalent conjugate vaccines against serogroups A, C, W, Y (MenACWY), and monovalent vaccines against serogroup B (MenB) as well as a newly licensed pentavalent vaccine (MenABCWY) protecting against serogroup A, B, C, W, and Y. The CDC's Advisory Committee on Immunization Practices (ACIP) routinely recommends MenACWY vaccine for all 11- to 12-year-olds with a booster dose at 16 years. MenB vaccination is recommended based on shared clinical decision-making (SCDM) for 16- to 23-year-olds. Recently, the pentavalent meningococcal vaccine (MenABCWY) was recommended by the ACIP. Meningococcal vaccine uptake is suboptimal across the country, particularly among individuals with lower socioeconomic status (SES), despite these recommendations. The objective of the spatial analyses was to assess the relationship between stocking of MenACWY and MenB vaccines, area-level SES, and state-level policies. METHODS: The number of MenACWY and MenB doses stocked by vaccinators was obtained from IQVIA and the CDC's Vaccine for Children (VFC) program and compiled into a county-level dataset from 2016 to 2019. SES, as measured using the CDC's Social Vulnerability Index (SVI), state-level school recommendations, and universal purchasing programs were among the main county-level covariates included to control for factors likely influencing stocking. Data were stratified by public and private market. Bayesian spatial regression models were developed to quantify the variations in rates of stocking and the relative rates of stocking of both vaccines. RESULTS: After accounting for county-level characteristics, lower SES counties tended to have fewer doses of MenB relative to MenACWY on both public and private markets. Lower SES counties tended to have more supply of public vs. private doses. Universal purchasing programs had a strong effect on the markets for both vaccines shifting nearly all doses to the public market. School vaccination strategy was key for improving stocking rates. CONCLUSIONS: Overall, the results show that MenACWY has greater stock relative to MenB across the US. This difference is exacerbated in vulnerable areas without school entry requirements for vaccination and results in inequity of vaccine availability. Beyond state-level policy and SES differences, SCDM recommendations may be a contributing factor, although this was not directly assessed by our model.

Explicit discrimination among Brazilian dental students: A multicenter study.

OBJECTIVE: To test the association between socioeconomic and sociodemographic status of Brazilian dental students with discriminatory experiences suffered by them. METHODS: This multicenter cross-sectional study was conducted with 531 undergraduate dental students from four different Brazilian states. The Explicit Discrimination Scale (EDS) was used to measure the experience of discrimination in several daily situations. A questionnaire about sociodemographic and socioeconomic characteristics, form of admission, and permanence in dental schools was developed and validated by experts and six dental students through cognitive interviews. The EDS and questionnaire were sent to students by an online platform using snowball sampling. Descriptive analysis, bivariate tests, and multiple Poisson regression were performed. RESULTS: Among the participants, most were female, white, heterosexual, and cisgender. The mean EDS total score was higher among those students who used Brazilian Affirmative Actions for higher education access and permanence (p < 0.005). The multiple analysis indicated that students who were black (prevalence ratio [PR] = 1.484; 95% confidence interval [95%CI]: 1.291-1.705), women (PR = 1.227; 95%CI: 1.030-1.462), had lower monthly income (PR = 1.212; 95%CI: 1.043-1.409) and were lesbian, gay, bisexual, transgender, intersex, queer, pansexual, and plus (LGBTQIAP+) (PR = 1.466; 95%CI: 1.238-1.735) showed a higher probability of discriminatory experiences when compared to white, male and heterosexual students with higher monthly income. CONCLUSION: There is a racial and social class pattern among dental students. The exclusionary factors such as black race, female gender, lower monthly income and being LGBTQIAP+ make students more vulnerable to discriminatory experiences.

Rethinking counterfeit medical supply chains: A critical review of the current literature.

The medical device and pharmaceutical industries include a range of drugs, machines, instruments, and apparatuses used to prevent, diagnose, treat disease and illness, or aid in rehabilitation for patients, and are expected to grow substantially in the coming years. However, they are often targets of criminal organizations who manufacture and profit from fraudulent products, infiltrating the market with counterfeit medical supply chains. In this paper, we discuss and analyze the extent and nature of this problem and make suggestions for mitigation and prevention of this worldwide challenge. Ultimately, we argue that a holistic approach is essential to addressing this problem, including the creation and dissemination of reliable and good quality data, developing healthcare systems to be more robust, establishing/enhancing intra- and international cooperation around this issue, and employing effective technological solutions, such as digital tracing.

The Impact of Air Pollution Controls on Health and Health Inequity Among Middle-Aged and Older Chinese: Evidence From Panel Data.

Objectives: We evaluated the long-term effects of air pollution controls on health and health inequity among Chinese >45 years of age. Methods: Data were derived from the China Health Aging and Retirement Longitudinal Survey and the China National Environmental Monitoring Centre. Decreases in PM2.5 and PM10 were scaled to measure air quality controls. We used a quasi-experimental design to estimate the impact of air quality controls on self-reported health and health inequity. Health disparities were estimated using the concentration index and the horizontal index. Results: Air pollution controls significantly improved self-reported health by 20% (OR 1.20, 95% CI, 1.02-1.42). The poorest group had a 40% (OR 1.41, 95% CI, 0.96-2.08) higher probability of having excellent self-reported health after air pollution controls. A pro-rich health inequity was observed, and the horizontal index decreased after air pollution controls. Conclusion: Air pollution controls have a long-term positive effect on health and health equity. The poorest population are the main beneficiaries of air pollution controls, which suggests policymakers should make efforts to reduce health inequity in air pollution controls.

Selective Classes and Early Health Inequalities in Comprehensive Schools in Finland.

BACKGROUND: The origin of inequalities in health outcomes has been explained by health selection and social causation models. Health selection processes operate particularly at school age. We study, if student allocation to teaching groups with aptitude tests (selective vs general class) differentiates adolescents by health behaviors and mental health. METHODS: Finnish schoolchildren 12-13 years from 12 selective classes, n = 248; 41 general classes, n = 703 answered a questionnaire on addictive products (tobacco, snus, alcohol, and energy drinks), digital media use, and mental health (health complaints, anxiety, and depression). Structural equation modeling was conducted to identify structures between outcomes, SEP (socioeconomic position), class type, and academic performance. RESULTS: Students in the selective classes reported less addictive digital media and addictive products use than students in the general classes. Differences in academic performance or SEP between the class types did not solely explain these differences. Mental health was not related to the class type. SEP was indirectly associated with health behaviors via the class type and academic performance. CONCLUSIONS: Selecting students to permanent teaching groups with aptitude tests differentiates students according to risky health behaviors. The impact of education policies using student grouping should also be evaluated in terms of students' health.

Existence and convergence of the length-preserving elastic flow of clamped curves.

We study the evolution of curves with fixed length and clamped boundary conditions moving by the negative L 2 -gradient flow of the elastic energy. For any initial curve lying merely in the energy space we show existence and parabolic smoothing of the solution. Applying previous results on long-time existence and proving a constrained Lojasiewicz-Simon gradient inequality we furthermore show convergence to a critical point as time tends to infinity.

Contextualising and challenging under-representation in research in light of Cultural Trauma: a qualitative focus group and interview study.

BACKGROUND: Although underserved populations- including those from ethnic minority communities and those living in poverty-have worse health and poorer healthcare experiences, most primary care research does not fairly reflect these groups. Patient and public involvement (PPI) is usually embedded within research studies in the United Kingdom (UK), but often fails to represent underserved populations. This study worked with patient and public contributors and local community leaders, situated in a socio-economically deprived and ethnically diverse urban area, to explore under-representation in primary healthcare research. METHODS: We undertook a focus group with a purposive sample of 6 members of a Patient and Public Involvement Group (PPIG), and interviews with 4 community leaders (representing Black, South Asian, Roma and socio-economically deprived communities). An iterative analysis process based on template analysis was used. Focus group 1 was rapidly analysed, and a template created. Findings were presented in focus group 2, and the template further developed. The Cultural Trauma concept was than applied to the template to give a wider theoretical lens. In-depth analysis of focus groups and interviews was then performed based on the template. RESULTS: Wider societal and historical influences have degraded trust in academic and healthcare institutions within underserved populations. Along with more practical considerations, trust underpins personal motivations to engage with research. Researchers need to invest time and resources in prolonged, mutually beneficial engagement with communities of importance to their research, including sharing power and influence over research priorities. Researcher reflexivity regarding differential power and cultural competencies are crucial. Utilising participatory methodologies including co-production demonstrates a commitment to inclusive study design. CONCLUSIONS: Re-framing evidence-based medicine to be more useful and relevant to underserved populations with the highest burden of ill health is urgently needed. Lack of representation in primary healthcare research reflects wider societal inequalities, to which Cultural Trauma provides a useful lens. However, there are actions that researchers can take to widen representation. This will ultimately help achieve the goal of increased health equity by enhancing scientific rigour and research generalizability.

THE PROBLEM: People living in poverty, and people from ethnic minority communities may be referred to as 'underserved'. Underserved communities benefit less from health services, and along with other factors, this leads to health inequalities. Primary care research does not include enough people from these communities. This makes the health inequalities  worse. WHAT WE DID: This study looks at why people from underserved communities are not included in research. It also looks at what might help. We had focus group discussions with members of a Patient and Public Involvement Group (PPIG). These are individuals who do not have research expertise, but use their lived experience as patients to influence the research process. This group was formed in 2017, from areas where more people live with social disadvantage. We also interviewed local community leaders. Interviews and focus groups ask open questions, so are a good way to explore what people think about an issue. We found a useful theory about how cultural history affects what people can do. We used this to help us to understand how our findings could improve and widen participation in research within underserved communities. WHAT WE FOUND: We found that trust is very important. There needs to be trust between people and organisations. There are also practical reasons people from underserved communities might not be able to get involved in research. Researchers need to be aware of these things, and work with people from these communities throughout all stages of research. Long term relationships need to develop between institutions and people doing research. Understanding each other's culture and history makes it easier to work together.

Analyzing the dynamic effect of energy endowment-demand distortion on sustainable development: Insights from China's regional disparity.

The distribution of China's energy resources is concentrated in the central and western regions, whereas the energy demand is predominantly centered in the eastern regions. Under the ambitious "carbon neutrality" goal, how to effectively quantify and respond to the impact of this energy "endowment-demand" distortion (EEDD) on economy and environment has become a key issue. We introduce an EEDD index that quantifies the distortion characteristics of China's energy endowment and demand. Based on the EEDD index, a panel vector auto regression-generalized method of moments (PVAR-GMM) model is adopted to assess the interactive effects between regional EEDD and sustainable development variables. The obtained results indicate that the energy endowment-demand distortions are progressively worsening across most provinces. Interestingly, we discover that the EEDD has significant beneficial effects on regional sustainable development. Moreover, the EEDD is found to be significantly influenced by the sustainability-related variables. These impacts between EEDD and sustainable development variables demonstrate significant regional heterogeneity. This study provides crucial empirical evidence for advancing the comprehensive and sustainable development of regional energy, environment, and economy.

Factors Associated with Uptake of COVID-19 Vaccine Among Pregnant Women: Finding from a Tertiary Care Facility in Maharashtra.

Background: Gender inequality influences access to and demand for healthcare services including vaccines. The gender gap in the COVID-19 vaccine coverage doesn't account for the skewed male-female ratio in India. The pandemic response has failed to recognize the barriers faced by women in accessing healthcare. These barriers are intensified in the case of pregnant women who are considered as a high-risk group for COVID-19 infection. The present study was aimed to examine the factors influencing the uptake of the COVID-19 vaccine in pregnant women. Methods: The study was carried out in the Department of OBGY, GMCH, Aurangabad, Maharashtra. Pregnant women above 18 years who had at least one antenatal visit were considered for the purpose of the study. Women who consented to participate in the study were administered a survey questionnaire by a healthcare provider which included a demographic, socio-economic, and obstetric profile of pregnant women, knowledge and attitude toward vaccines, and gender-related barriers. The chi-square test and independent t test were done to identify the factors influencing the uptake of the vaccine. Results: About 22% of the women had not taken the vaccine (100 out of 444). Factors like age, residence, and education of women were not found to be associated with the uptake of vaccines. Husband's education was found to be significantly associated (p < 0.05) with vaccine uptake. The presence of complications during pregnancy also significantly deterred women from taking the vaccine. Concerns about the safety of the vaccine, side effects for the fetus, and negative opinions of family members about the vaccine were also found to be associated with non-uptake of the vaccine by pregnant women. Conclusion: Healthcare providers during antenatal care can play an important role by addressing concerns regarding the safety of the COVID-19 vaccine in pregnant women.

The revolution next door.

This paper explores the cascading influence of revolutionary moments on democracy and inequality, not at home, but across borders. We use data on revolutions and other social upheavals over the past 120 years and examine their cross-national impact on a range of variables in neighboring countries. Engaging with debates on whether substantial democracy and equality increases require extraordinary circumstances, our research investigates whether revolutionary activities induce consequential spillovers, such as policy concessions from elites in neighboring contexts. In exploring spillover effects, the paper examines how significant events in one nation influence social life in adjacent ones. It encompasses an analysis of 171 countries over two centuries, connecting data on revolution with democracy and equality metrics, and hypothesizing that elite fear of revolutionary contagion may necessitate democracy and equality concessions to mitigate potential uprisings. Findings suggest neighboring revolutions positively impact domestic democracy and equality levels. We observe significant increases in an index of democracy and two indices of economic egalitarianism, although one of the egalitarianism measures is robust to all model specifications. Additionally, we find that isolated "protest-led ousters" can moderately increase suffrage and one of our indices of egalitarianism, while coups do not seem to impact democracy or inequality variables. By examining various upheaval types and outcomes across time and space, the study illuminates the causal relationship between global mobilizations and local changes, providing insights into how global events inform domestic outcomes.

Distributed State Observer for Systems with Multiple Sensors under Time-Delay Information Exchange.

The issues of state estimations based on distributed observers for linear time-invariant (LTI) systems with multiple sensors are discussed in this paper. We deal with the scenario when the information exchange has known time delays, and aim at designing a distributed observer for each subsystem such that each distributed observer can estimate the system state asymptotically by rejecting the time delay. To begin with, by rewriting the target system in a connecting form, a subsystem which is affected by the time-delay states of other nodes is established. And then, for this subsystem, a distributed observer with time delay is constructed. Moreover, an equivalent state transformation is made for the observer error dynamic system based on the observable canonic decomposition theorem. Further, in order to ensure that the distributed observer error dynamic system is asymptotically stable even if there exists a time delay, a linear matrix inequality (LMI) which is relative to the Laplace matrix is elaborately set up, and a special Lyapunov function candidate based on the LMI is considered. Next, based on the Lyapunov function and Lyapunov stability theory, we prove that the error dynamic system of the distributed observer is asymptotically stable, and the observer gain is determined by a feasible solution of the LMI. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.

Variational inequality for a Timoshenko plate contacting at the boundary with an inclined obstacle.

A class of variational inequalities describing the equilibrium of elastic Timoshenko plates whose boundary is in contact with the side surface of an inclined obstacle is considered. At the plate boundary, mixed conditions of Dirichlet type and a non-penetration condition of inequality type are imposed on displacements in the mid-plane. The novelty consists of modelling oblique interaction with the inclined obstacle which takes into account shear deformation and rotation of transverse cross-sections in the plate. For proposed problems of equilibrium of the plate contacting the inclined obstacle, the unique solvability of the corresponding variational inequality is proved. Under the assumption that the variational solution is smooth enough, optimality conditions are obtained in the form of equilibrium equations and relations revealing the mechanical properties of integrated stresses, moments and generalized displacements on the contact part of the boundary. Accounting for complementarity type conditions owing to the contact of the plate with the inclined obstacle, a primal-dual variational formulation of the obstacle problem is derived. A semi-smooth Newton method based on a generalized gradient is constructed and performed as a primal-dual active-set algorithm. It is advantageous for efficient numerical solution of the problem, provided by a super-linear estimate for the corresponding iterates in function spaces. This article is part of the theme issue 'Non-smooth variational problems with applications in mechanics'.

Thin inclusion at the junction of two elastic bodies: non-coercive case.

This article addresses an analysis of the non-coercive boundary value problem describing an equilibrium state of two contacting elastic bodies connected by a thin elastic inclusion. Nonlinear conditions of inequality type are imposed at the joint boundary of the bodies providing a mutual non-penetration. As for conditions at the external boundary, they are Neumann type and imply the non-coercivity of the problem. Assuming that external forces satisfy suitable conditions, a solution existence of the problem analysed is proved. Passages to limits are justified as the rigidity parameters of the inclusion and the elastic body tend to infinity.This article is part of the theme issue 'Non-smooth variational problems with applications in mechanics'.

Immigrant and Racialized Populations' Cumulative Exposure to Discrimination and Associations with Long-Term Conditions During COVID-19: A Nationwide Large-Scale Study in Canada.

BACKGROUND: This cross-sectional study examines associations between the race-migration nexus, cumulative exposure to intersectional discrimination (2 years before and during the COVID-19 pandemic), and long-term conditions. METHODS: A nationwide self-selected sample (n = 32,605) was obtained from a Statistics Canada's Crowdsourcing online survey from August 4 to 24, 2020. Binary and multinomial logistic regression models were used to examine disparities by the race-migration nexus in accumulative experiences of multiple situations- and identity-based discrimination and their relations with long-term conditions, after controlling for sociodemographic covariates. RESULTS: During the pandemic, discrimination stemming from racialization - such as race/skin color (24.4% vs 20.1%) and ethnicity/culture (18.5% vs 16.5%) - and cyberspace (34.1% vs 29.8%) exaggerated relative to pre-pandemic period; compared to Canadian-born (CB) whites, the likelihood of experiencing multiple discrimination increased alongside the domains of discrimination being additively intersected (e.g., identity-based, all p's < 0.001) among CB racialized minorities (ORs 2.08 to 11.78), foreign-born (FB) racialized minorities (ORs 1.99 to 12.72), and Indigenous populations (ORs 1.62 to 8.17), except for FB whites (p > 0.01); dose-response relationships were found between cumulative exposure to multiple discrimination and odds of reporting long-term conditions (p's < 0.001), including seeing (ORs 1.63 to 2.99), hearing (ORs 1.83 to 4.45), physical (ORs 1.66 to 3.87), cognitive (ORs 1.81 to 3.79), and mental health-related impairments (ORs 1.82 to 3.41). CONCLUSIONS: Despite a universal health system, Canadians who are CB/FB racialized and Indigenous populations, have a higher prevalence of cumulative exposure to different aspects of discrimination that are associated with multiple long-term conditions during the COVID-19 pandemic. Equity-driven solutions are needed to tackle upstream determinants of health inequalities through uprooting intersectional discrimination faced by racialized and immigrant communities.

Multidimensional regularity processing in music: an examination using redundant signals effect.

Music is based on various regularities, ranging from the repetition of physical sounds to theoretically organized harmony and counterpoint. How are multidimensional regularities processed when we listen to music? The present study focuses on the redundant signals effect (RSE) as a novel approach to untangling the relationship between these regularities in music. The RSE refers to the occurrence of a shorter reaction time (RT) when two or three signals are presented simultaneously than when only one of these signals is presented, and provides evidence that these signals are processed concurrently. In two experiments, chords that deviated from tonal (harmonic) and acoustic (intensity and timbre) regularities were presented occasionally in the final position of short chord sequences. The participants were asked to detect all deviant chords while withholding their responses to non-deviant chords (i.e., the Go/NoGo task). RSEs were observed in all double- and triple-deviant combinations, reflecting processing of multidimensional regularities. Further analyses suggested evidence of coactivation by separate perceptual modules in the combination of tonal and acoustic deviants, but not in the combination of two acoustic deviants. These results imply that tonal and acoustic regularities are different enough to be processed as two discrete pieces of information. Examining the underlying process of RSE may elucidate the relationship between multidimensional regularity processing in music.

Addressing Post-Pandemic Adolescent Health in Schools.

The coronavirus disease 2019 pandemic disrupted in-person learning for adolescents and young adults across the world. Inequities in learning outcomes were primarily caused by digital inequalities. Social needs of adolescent and young adult (AYA) emerged during the pandemic and school is a key part of supporting AYA social health. School-based health clinics can serve as a method to improve mental and physical health outcomes for AYA.

Wealth-based disparities in the prevalence of short birth interval in India: insights from NFHS-5.

BACKGROUND: Short birth interval (SBI) has profound implications for the health of both mothers and children, yet there remains a notable dearth of studies addressing wealth-based inequality in SBI and its associated factors in India. This study aims to address this gap by investigating wealth-based disparities in SBI and identifying the underlying factors associated with SBI in India. METHODS: We used information on 109,439 women of reproductive age (15-49 years) from the fifth round of the National Family Health Survey (2019-21). We assessed wealth-based inequality in SBI for India and its states using the Erreygers Normalised Concentration Index (ECI). Additionally, we used a multilevel binary logistic regression to assess the factors associated with SBI in India. RESULTS: In India, the prevalence of SBI was 47.8% [95% CI: 47.4, 48.3] during 2019-21, with significant variation across states. Bihar reported the highest prevalence of SBI at 61.2%, while Sikkim the lowest at 18.1%. SBI prevalence was higher among poorer mothers compared to richer ones (Richest: 33.8% vs. Poorest: 52.9%). This wealth-based inequality was visible in the ECI as well (ECI= -0.13, p < 0.001). However, ECI varied considerably across the states. Gujarat, Punjab, and Manipur exhibited the highest levels of wealth-based inequality (ECI= -0.28, p < 0.001), whereas Kerala showed minimal wealth-based inequality (ECI= -0.01, p = 0.643). Multilevel logistic regression analysis identified several factors associated with SBI. Mothers aged 15-24 (OR: 12.01, p < 0.001) and 25-34 (2.92, < 0.001) were more likely to experience SBI. Women who married after age 25 (3.17, < 0.001) and those belonging to Scheduled Caste (1.18, < 0.001), Scheduled Tribes (1.14, < 0.001), and Other Backward Classes (1.12, < 0.001) also had higher odds of SBI. Additionally, the odds of SBI were higher among mothers in the poorest (1.97, < 0.001), poorer (1.73, < 0.001), middle (1.62, < 0.001), and richer (1.39, < 0.001) quintiles compared to the richest quintile. Women whose last child had passed away were also significantly more likely to have SBI (2.35, < 0.001). Furthermore, mothers from communities with lower average schooling levels (1.18, < 0.001) were more likely to have SBI. Geographically, mothers from eastern (0.67, < 0.001) and northeastern (0.44, < 0.001) regions of India were less likely to have SBI. CONCLUSION: The significant wealth-based inequality in SBI in India highlights the need for targeted interventions focusing on economically disadvantaged women, particularly in states with high SBI prevalence. Special attention should be given to younger mothers and those from socially disadvantaged groups to enhance maternal and child health outcomes across the country.