Access to early diagnosis for attention-deficit/hyperactivity disorder among children and adolescents in Mexico City at specialized mental health services.

BACKGROUND: In Mexico, this pioneering research was undertaken to assess the accessibility of timely diagnosis of Dyads [Children and adolescents with Attention Deficit Hyperactivity Disorder (ADHD) and their primary caregivers] at specialized mental health services. The study was conducted in two phases. The first phase involved designing an "Access Pathway" aimed to identify barriers and facilitators for ADHD diagnosis; several barriers, with only the teacher being identified as a facilitator. In the second phase, the study aimed to determine the time taken for dyads, to obtain a timely diagnosis at each stage of the Access Pathway. As well as identify any disparities based on gender and socioeconomic factors that might affect the age at which children can access a timely diagnosis. METHOD: In a retrospective cohort study, 177 dyads participated. To collect data, the Acceda Survey was used, based on the robust Conceptual Model Levesque, 2013. The survey consisted of 48 questions that were both dichotomous and polytomous allowing the creation of an Access Pathway that included five stages: the age of perception, the age of search, the age of first contact with a mental health professional, the age of arrival at the host hospital, and the age of diagnosis. The data was meticulously analyzed using a comprehensive descriptive approach and a nonparametric multivariate approach by sex, followed by post-hoc Mann-Whitney's U tests. Demographic factors were evaluated using univariable and multivariable Cox regression analyses. RESULTS: 71% of dyads experienced a late, significantly late, or highly late diagnosis of ADHD. Girls were detected one year later than boys. Both boys and girls took a year to seek specialized mental health care and an additional year to receive a formal specialized diagnosis. Children with more siblings had longer delays in diagnosis, while caregivers with formal employment were found to help obtain timely diagnoses. CONCLUSIONS: Our findings suggest starting the Access Pathway where signs and symptoms of ADHD are detected, particularly at school, to prevent children from suffering consequences. Mental health school-based service models have been successfully tested in other latitudes, making them a viable option to shorten the time to obtain a timely diagnosis.

Big Data-Planetary Health approach for evaluating the Brazilian Dengue Control Program.

OBJECTIVE: This study aims to integrate the concepts of planetary health and big data into the Donabedian model to evaluate the Brazilian dengue control program in the state of São Paulo. METHODS: Data science methods were used to integrate and analyze dengue-related data, adding context to the structure and outcome components of the Donabedian model. This data, considering the period from 2010 to 2019, was collected from sources such as Department of Informatics of the Unified Health System (DATASUS), the Brazilian Institute of Geography and Statistics (IBGE), WorldClim, and MapBiomas. These data were integrated into a Data Warehouse. K-means algorithm was used to identify groups with similar contexts. Then, statistical analyses and spatial visualizations of the groups were performed, considering socioeconomic and demographic variables, soil, health structure, and dengue cases. OUTCOMES: Using climate variables, the K-means algorithm identified four groups of municipalities with similar characteristics. The comparison of their indicators revealed certain patterns in the municipalities with the worst performance in terms of dengue case outcomes. Although presenting better economic conditions, these municipalities held a lower average number of community healthcare agents and basic health units per inhabitant. Thus, economic conditions did not reflect better health structure among the three studied indicators. Another characteristic of these municipalities is urbanization. The worst performing municipalities presented a higher rate of urban population and human activity related to urbanization. CONCLUSIONS: This methodology identified important deficiencies in the implementation of the dengue control program in the state of São Paulo. The integration of several databases and the use of Data Science methods allowed the evaluation of the program on a large scale, considering the context in which activities are conducted. These data can be used by the public administration to plan actions and invest according to the deficiencies of each location.

Association between emergency department attendances, sociodemographic factors and long-term health conditions in the population of Norfolk and Waveney, England: Cross sectional study.

INTRODUCTION: Demand for urgent and emergency health care in England has grown over the last decade, for reasons that are not clear. Changes in population demographics may be a cause. This study investigated associations between individuals' characteristics (including socioeconomic deprivation and long term health conditions (LTC)) and the frequency of emergency department (ED) attendances, in the Norfolk and Waveney subregion of the East of England. METHODS: The study population was people who were registered with 91 of 106 Norfolk and Waveney general practices during one year from 1 April 2022 to 31 March 2023. Linked primary and secondary care and geographical data included each individual's sociodemographic characteristics, and number of ED attendances during the same year and, for some individuals, LTCs and number of general practice (GP) appointments. Associations between these factors and ED attendances were estimated using Poisson regression models. RESULTS: 1,027,422 individuals were included of whom 57.4% had GP data on the presence or absence of LTC, and 43.1% had both LTC and general practitioner appointment data. In the total population ED attendances were more frequent in individuals aged under five years, (adjusted Incidence Rate Ratio (IRR) 1.25, 95% confidence interval 1.23 to 1.28) compared to 15-35 years); living in more socioeconomically deprived areas (IRR 0.61 (0.60 to 0.63)) for least deprived compared to most deprived,and living closer to the nearest ED. Among individuals with LTC data, each additional LTC was also associated with increased ED attendances (IRR 1.16 (1.15 to 1.16)). Among individuals with LTC and GP appointment data, each additional GP appointment was also associated with increased ED attendances (IRR 1.03 (1.026 to 1.027)). CONCLUSIONS: In the Norfolk and Waveney population, ED attendance rates were higher for young children and individuals living in more deprived areas and closer to EDs. In individuals with LTC and GP appointment data, both factors were also associated with higher ED attendance.

Dental Care Among Adults Age 65 and Older: United States, 2022.

Oral health is associated with overall health, especially in older adults (age 65 and older). Chronic conditions in older adults may affect oral health, and poor oral health may increase the risk of certain chronic conditions (1-3). Poor oral health has also been associated with increased cardiovascular disease risk (4). Several factors, including chronic conditions, health status, race, and income have been associated with reduced dental care use among older adults (5-9). This report describes the percentage of older adults who had a dental visit in the past 12 months by selected sociodemographic characteristics and chronic conditions using the 2022 National Health Interview Survey (NHIS). .

Analysing district-level climate vulnerability pattern in Madhya Pradesh, India, based on agricultural and socio-economic indicators.

Indian agriculture transitioned from a food deficit sector to a food surplus following the Green Revolution. However, the continued progress of Indian agriculture has been hampered by climate change. This research explores the district-wise vulnerability in Madhya Pradesh, India, to climate change by assessing the composite vulnerability index using the agricultural vulnerability index (AVI) and socio-economic vulnerability index (SEVI). The study seeks to understand how agricultural and socio-economic factors lead to variations in vulnerability across districts and influence targeted adaptation and mitigation strategies. The trend analysis results present declining rainfall and inclining temperature from 1951 to 2021 in Madhya Pradesh, directly affecting the agricultural sector and human livelihood. The composite vulnerability index (CVI) results revealed that districts with low values (< 0.394), such as Burhanpur and Balaghat, demonstrate reduced susceptibility due to limited cultivation, low reliance on rainfall, lower drought susceptibility, and decreased population density. Districts such as Panna and Bhopal show moderate vulnerability (0.394-0.423), with lower fallow land, reduced rainfed agriculture, and socio-economic vulnerability. Extensive agriculture and marginalised workers' presence influence high vulnerability (0.423 to 0.456) in districts such as Tikamgarh and Indore. Districts like Barwani and Jhabua have the highest CVI values (> 0.456), indicating substantial susceptibility to climate impacts. The cluster analysis validates the results of the vulnerability index. The findings highlight the urgent need for tailored adaptation strategies to address the diverse agricultural and socio-economic indicators creating vulnerability in Madhya Pradesh. The study helps understand regional vulnerability patterns and provides evidence-based policy approaches for resilience to climate change effects.

[Tuberculosis mortality trends and the correlation with the socio-demographic index in Brazil between 2010 and 2019]. / Tendência da mortalidade por tuberculose e relação com o índice sóciodemográfico no Brasil entre 2005-2019.

The scope of this article is to analyze the trend of the standardized mortality rate (SMR) for tuberculosis and its correlation with the developmental status in Brazil. An ecological time series study was conducted to analyze data of deaths from tuberculosis reported between 2005 and 2019 in all states. Data were extracted from the Mortality Information System, the Brazilian Institute of Geography and Statistics, and the Global Burden of Disease study. The temporal trend was analyzed using Prais-Winsten regression. Spearman's correlation analysis between SMR and Socio-Demographic Index (SDI) was also performed. From 2005 to 2019, 68,879 deaths from tuberculosis were recorded in Brazil. The average mortality rate was 2.3 deaths per 100,000 inhabitants. The decreasing trend of SMR due to tuberculosis was observed in Brazil and in all regions. There was a significant negative correlation between SDI and TMP. TMP due to tuberculosis revealed a decreasing trend in Brazil and in all regions. Most states showed a decreasing trend and none of them had an increasing trend. An inverse relationship was found between developmental status and mortality due to tuberculosis.

O objetivo do artigo é analisar a tendência da taxa de mortalidade padronizada (TMP) por tuberculose e sua correlação com o status de desenvolvimento no Brasil. Estudo ecológico de séries temporais que analisou dados de óbitos por tuberculose notificados entre 2005 e 2019 de todos os estados. Os dados foram extraídos do Sistema de Informação sobre Mortalidade, do Instituto Brasileiro de Geografia e Estatística e do estudo da Carga Global de Doenças. A tendência temporal foi analisada pela regressão de Prais-Winsten. A análise da correlação de Spearman entre a TMP e o índice sociodemográfico (socio-demographic index - SDI) também foi realizada. De 2005 a 2019, foram registrados 68.879 óbitos por tuberculose no Brasil. A taxa média de mortalidade foi de 2,3 óbitos por 100.000 habitantes. A tendência decrescente da TMP por tuberculose foi observada no Brasil e em todas as regiões. Verificou-se correlação negativa significativa entre o SDI e a TMP. A maioria dos estados apresentou tendência decrescente e nenhum deles teve tendência crescente. Uma relação inversa foi verificada entre o SDI e a mortalidade por tuberculose.

Birth weight and asthma in young adults of a Brazilian birth cohort.

This article aims to evaluate the association between birth weight and asthma in adulthood, estimated by employing structural equation modeling. Cohort study with 1,958 participants aged 23-25 years from Ribeirão Preto, São Paulo, Brazil. Standardized questionnaires were applied and pulmonary function evaluated, including bronchial reactivity with methacholine. A theoretical model was proposed to explore the effects of birth weight and asthma in adulthood. Asthma, socioeconomic status at birth (Birth SES), and current socioeconomic status (Adult SES) were obtained by constructs. Maternal age, sex, skin color, body mass index (BMI), smoking, parental asthma history, history of respiratory infection before five years old, history of hospitalization for lung disease before two years old, and atopy were the studied variables. 14.1% of participants were diagnosed with asthma. Birth weight was associated with asthma (Standardized Coefficient - SCtotal=-0.110; p=0.030), and an indirect effect was also observed (SCindirect=-0.220; p=0.037), mediated by hospitalization before two years and respiratory infection before five years. Lower birth weight showed an increased risk of asthma in adulthood and the SES Birth and Adult SES variables underlie this association.

Determinants factors in the recognition of a usual source of care by Brazilian adolescents. / Fatores determinantes no reconhecimento de uma fonte usual de cuidado por adolescentes brasileiros.

The present study aimed to analyze the demographic, socioeconomic, and health factors and risk behaviors associated with the recognition of a Usual Source of Care (USC), according to gender. This work was a cross-sectional study, based on the National Survey of School Health (2015), conducted with 100,464 Brazilian adolescents. Descriptive analyses were performed based on Pearson's χ2, and the prevalence ratio (PR) through logistic regression models in Stata 14 for each type of USC (Primary Health Care (PHC), Private Practice, Hospital, and Emergency), stratified by sex. Recognition of a USC was reported by 55.5% of the adolescents, 58.6% of whom were female. In the multivariate analysis, the variables that present social, economic, and risk behavior inequalities showed positive associations for USC PHC for both genders. For the other types of USC, the demographic and socioeconomic characteristics showed negative associations. The results of this study showed that PHC is the service with the highest recognition among adolescents in conditions of social vulnerability. This reinforces the need to consolidate the PHC in order to favor the health care of adolescents, establishing bonds and improving access to health actions.

Objetivou-se analisar os fatores demográficos, socioeconômicos, de saúde e comportamentos de risco associados ao reconhecimento de uma Fonte Usual de Cuidados (FUC). Estudo transversal, a partir da Pesquisa Nacional de Saúde do Escolar (2015) realizado com 100.464 adolescentes brasileiros. Realizou-se análises descritivas através do χ2 de Pearson, e a razão de prevalência (RP) através dos modelos de regressão logística no Stata 14 para cada tipo de FUC (APS, Consultório Particular, Hospital e Emergência), estratificado por sexo. O reconhecimento de uma FUC foi referido por 55,5% dos adolescentes, sendo 58,6% do sexo feminino. Na análise multivariada, as variáveis que apresentam desigualdades sociais, econômicas e de comportamento de risco demonstraram associações positivas para a FUC APS, para ambos os sexos. Para os demais tipos de FUC, as características demográficas e socioeconômicas quando associadas apresentaram associações foram negativas. Os resultados deste estudo mostraram que a APS é o serviço com maior reconhecimento dos adolescentes em condições de vulnerabilidade social. O que reforça a necessidade de consolidação da APS a fim de favorecer a atenção à saúde dos adolescentes, no estabelecimento de vínculo e na melhoria do acesso às ações de saúde.

Unplanned pregnancy in the extreme South of Brazil: prevalence, trends, and associated factors. / Gravidez não planejada no extremo Sul do Brasil: prevalência, tendência e fatores associados.

The study aims to estimate the proportion of puerperae with an unplanned pregnancy, evaluate trends and identify factors associated with its occurrence in Rio Grande-RS, Brazil. Trained interviewers applied a single, standardized questionnaire to all puerperae residing in the municipality in 2007, 2010, 2013, 2016 and 2019. The chi-square test compared proportions and the Poisson regression with robust variance adjustment in the multivariate analysis. The prevalence ratio (PR) was the effect measure employed. The study includes 12,415 puerperae (98% of the total). The unplanned pregnancy rate was 63.3% (95%CI: 62.5%-64.1%). After adjusting, the highest PR for not planning pregnancy were observed among younger, black women, living without a partner, with more significant household agglomeration, lower schooling, and household income, multiparous and smokers. The rate of unplanned pregnancy is high and stable, with a higher propensity among women those with the highest risk of unfavorable events during pregnancy and childbirth. Reaching these women in high schools, companies, services and health professionals, in addition to the mass media, can be strategies to prevent unplanned pregnancy.

Este estudo estimou a proporção de puérperas que não planejaram a gravidez, avaliou tendência e identificou fatores associados à sua ocorrência no município de Rio Grande-RS. Entre 01/01 e 31/12 de 2007, 2010, 2013, 2016 e 2019 entrevistadoras treinadas aplicaram questionário único e padronizado a todas as puérperas residentes neste município. Utilizou-se teste qui-quadrado para comparar proporções e regressão de Poisson com ajuste da variância robusta na análise multivariável. A medida de efeito utilizada foi razão de prevalências (RP). O estudo incluiu 12.415 puérperas (98% do total). A prevalência de não planejamento foi 63,3% (IC95%: 62,5%-64,1%). Após ajuste, as maiores RP para não planejamento da gravidez foram observadas entre mulheres de menor idade, cor da pele preta, com companheiro, maior aglomeração domiciliar, pior escolaridade e renda familiar, maior paridade e tabagistas. Houve pequeno aumento na prevalência de não planejamento da gravidez no final do período principalmente entre àquelas com maiores riscos de eventos desfavoráveis na gestação e parto. Alcançar estas mulheres nas escolas de ensino médio, empresas, serviços e profissionais de saúde, além de meios de comunicação de massa, pode auxiliar na prevenção desse tipo de gravidez.

Correlation between general quality of life and oral health related quality in the mixed dentition.

The aim of this study was to evaluate the convergence between the domains of the Autoquestionnaire Qualité de Vie Enfant image (AUQUEI) and the Child Perceptions Questionnaire (CPQ8-10) in the mixed dentition. A sample of 676 children aged 8 to 10 years responded to the health-related quality of life (HRQoL) and oral health-related quality of life (OHRQoL) questionnaires using the AUQUEI and the CPQ8-10, respectively. Clinical (dental caries and malocclusion) and socioeconomic variables were assessed. The validity of convergence between scores (total and per domain) of the two instruments was assessed by Spearman correlation analysis, considering that non-zero coefficient values represented a correlation between scores. The median was calculated to compare the scores of each questionnaire relative to the variables, and the nonparametric Mann-Whitney test was applied to determine statistically significant differences between the categories. A weak significant correlation (between 0.30 and 0.50) was observed between the domains and the total scores of instruments (p < 0.05), except for the leisure domain (p > 0.05). Participants with a lower family income had worse HRQoL (p < 0.05), and those with caries and malocclusion experience had worse OHRQoL (p < 0.05). In conclusion, the AUQUEI and CPQ8-10 instruments showed a weak correlation. Income and clinical variables had a negative impact on the AUQUEI and CPQ8-10, respectively.

Oral health-related quality of life in the LGBTIQ+ population: a cross-sectional study.

The aim of this cross-sectional study was to investigate the associations between oral health-related quality of life (OHRQoL) and socioeconomic and demographic variables, suicidal ideation, self-perception of oral health, and experiences of dental care in the Brazilian adult LGBTIQ+ population. A sample of 464 participants completed self-administered online questionnaires and provided information for OHRQoL assessment, using the OHIP-14 instrument at three hierarchical levels of explanatory variables: LGBTIQ+ identities; socioeconomic and demographic data and existential suffering; and self-perception of oral health and experience of dental care. The collected data were fitted to hierarchical multiple logistic regression models, in which the associations between each independent variable with the OHIP-14 prevalence outcome were analyzed. The OHIP-14-prevalence index showed that 33.2% of the participants answered 'frequently' or 'always', and the highest frequencies were obtained for the psychological discomfort (27.8%), psychological disability (18.3%), and physical pain (17.5%) domains. According to the adjusted final model, LGBTIQ+ individuals who were more likely to have their OHRQoL affected were those who were indifferent (OR=3.21; 95% CI: 1.26-8.20), dissatisfied (OR=10.45; 95% CI: 3.86-28.26), or very dissatisfied (OR=53.93; 95% CI: 12.12-239.93) with their oral health status, and also those who had or have difficulty accessing dental treatment (OR=2.06; 95% CI: 1.24-3.41) (p<0.05). It may be concluded that the OHRQoL of the investigated Brazilian LGBTIQ+ population showed associations with individual aspects and with access to dental services.

Neonatal outcomes associated with tobacco, alcohol, and crack use during pregnancy in three Neonatal Intensive Care Units.

Despite the prevalence of substance use during pregnancy, studies focusing exclusively on Neonatal Intensive Care Units (NICU) admissions remain limited. This study investigates the impact of maternal use of tobacco, alcohol, and/or crack, on neonatal outcomes among infants admitted to three Brazilian NICUs. Additionally, the investigation explores the impact of substance use on DNA damage in newborns. Over a one-year period, data from 254 newborns were collected through medical records, accompanied by blood samples. Findings revealed that 16.1% of newborns had mothers reporting substance use during pregnancy. Significant associations were found between maternal substance use and adverse neonatal outcomes, including low birth weight, preterm birth, and sexually transmitted infections. Maternal variables linked to substance use encompassed non-white skin color, low education, non-masonry housing, lower income, diseases in other children, and fewer prenatal consultations. Notably, neonatal DNA damage showed no significant association with substance use. Our results underscore the substantial impact of maternal substance use on NICU-admitted infants, emphasizing the necessity for targeted interventions that address both neonatal health and maternal well-being, thereby underscoring the crucial role of comprehensive care in NICU settings.

Impacts of socioeconomic and environmental factors on neoplasms incidence rates using machine learning and GIS: a cross-sectional study in Iran.

Neoplasm is an umbrella term used to describe either benign or malignant conditions. The correlations between socioeconomic and environmental factors and the occurrence of new-onset of neoplasms have already been demonstrated in a body of research. Nevertheless, few studies have specifically dealt with the nature of relationship, significance of risk factors, and geographic variation of them, particularly in low- and middle-income communities. This study, thus, set out to (1) analyze spatiotemporal variations of the age-adjusted incidence rate (AAIR) of neoplasms in Iran throughout five time periods, (2) investigate relationships between a collection of environmental and socioeconomic indicators and the AAIR of neoplasms all over the country, and (3) evaluate geographical alterations in their relative importance. Our cross-sectional study design was based on county-level data from 2010 to 2020. AAIR of neoplasms data was acquired from the Institute for Health Metrics and Evaluation (IHME). HotSpot analyses and Anselin Local Moran's I indices were deployed to precisely identify AAIR of neoplasms high- and low-risk clusters. Multi-scale geographically weight regression (MGWR) analysis was worked out to evaluate the association between each explanatory variable and the AAIR of neoplasms. Utilizing random forests (RF), we also examined the relationships between environmental (e.g., UV index and PM2.5 concentration) and socioeconomic (e.g., Gini coefficient and literacy rate) factors and AAIR of neoplasms. AAIR of neoplasms displayed a significant increasing trend over the study period. According to the MGWR, the only factor that significantly varied spatially and was associated with the AAIR of neoplasms in Iran was the UV index. A good accuracy RF model was confirmed for both training and testing data with correlation coefficients R2 greater than 0.91 and 0.92, respectively. UV index and Gini coefficient ranked the highest variables in the prediction of AAIR of neoplasms, based on the relative influence of each variable. More research using machine learning approaches taking the advantages of considering all possible determinants is required to assess health strategies outcomes and properly formulate policy planning.

Uncovering physical activity trade-offs in transportation policy: A spatial agent-based model of Bogotá, Colombia.

BACKGROUND: Transportation policies can impact health outcomes while simultaneously promoting social equity and environmental sustainability. We developed an agent-based model (ABM) to simulate the impacts of fare subsidies and congestion taxes on commuter decision-making and travel patterns. We report effects on mode share, travel time and transport-related physical activity (PA), including the variability of effects by socioeconomic strata (SES), and the trade-offs that may need to be considered in the implementation of these policies in a context with high levels of necessity-based physical activity. METHODS: The ABM design was informed by local stakeholder engagement. The demographic and spatial characteristics of the in-silico city, and its residents, were informed by local surveys and empirical studies. We used ridership and travel time data from the 2019 Bogotá Household Travel Survey to calibrate and validate the model by SES. We then explored the impacts of fare subsidy and congestion tax policy scenarios. RESULTS: Our model reproduced commuting patterns observed in Bogotá, including substantial necessity-based walking for transportation. At the city-level, congestion taxes fractionally reduced car use, including among mid-to-high SES groups but not among low SES commuters. Neither travel times nor physical activity levels were impacted at the city level or by SES. Comparatively, fare subsidies promoted city-level public transportation (PT) ridership, particularly under a 'free-fare' scenario, largely through reductions in walking trips. 'Free fare' policies also led to a large reduction in very long walking times and an overall reduction in the commuting-based attainment of physical activity guidelines. Differential effects were observed by SES, with free fares promoting PT ridership primarily among low-and-middle SES groups. These shifts to PT reduced median walking times among all SES groups, particularly low-SES groups. Moreover, the proportion of low-to-mid SES commuters meeting weekly physical activity recommendations decreased under the 'freefare' policy, with no change observed among high-SES groups. CONCLUSIONS: Transport policies can differentially impact SES-level disparities in necessity-based walking and travel times. Understanding these impacts is critical in shaping transportation policies that balance the dual aims of reducing SES-level disparities in travel time (and time poverty) and the promotion of choice-based physical activity.

Multilevel analysis of determinants in postnatal care utilisation among mother-newborn pairs in India, 2019-21.

Background: Postnatal care (PNC) utilisation within 24 hours of delivery is a critical component of health care services for mothers and newborns. While substantial geographic variations in various health outcomes have been documented in India, there remains a lack of understanding regarding PNC utilisation and underlying factors accounting for these geographic variations. In this study, we aimed to partition and explain the variation in PNC utilisation across multiple geographic levels in India. Methods: Using India's 5th National Family Health Survey (2019-21), we conducted four-level logistic regression analyses to partition the total geographic variation in PNC utilisation by state, district, and cluster levels, and to quantify how much of theses variations are explained by a set of 12 demographic, socioeconomic, and pregnancy-related factors. We also conducted analyses stratified by selected states/union territories. Results: Among 149 622 mother-newborn pairs, 82.29% of mothers and 84.92% of newborns were reported to have received PNC within 24 hours of delivery. In the null model, more than half (56.64%) of the total geographic variation in mother's PNC utilisation was attributed to clusters, followed by 26.06% to states/union territories, and 17.30% to districts. Almost 30% of the between-state variation in mother's PNC utilisation was explained by the demographic, socioeconomic, and pregnancy-related factors (i.e. state level variance reduced from 0.486 (95% confidence interval (CI) = 0.238, 0.735) to 0.320 (95% CI = 0.152, 0.488)). We observed consistent results for newborn's PNC utilisation. State-specific analyses showed substantial geographic variation attributed to clusters across all selected states/union territories. Conclusions: Our findings highlight the consistently large cluster variation in PNC utilisation that remains unexplained by compositional effects. Future studies should explore contextual drivers of cluster variation in PNC utilisation to inform and design interventions aimed to improve maternal and child health.

Health Care Access and COVID-19 Vaccination in the United States: A Cross-Sectional Analysis.

BACKGROUND: Although federal legislation made COVID-19 vaccines free, inequities in access to medical care may affect vaccine uptake. OBJECTIVE: To assess whether health care access was associated with uptake and timeliness of COVID-19 vaccination in the United States. DESIGN: A cross-sectional study. SETTING: 2021 National Health Interview Survey (Q2-Q4). SUBJECTS: In all, 21,532 adults aged≥18 were included in the study. MEASURES: Exposures included 4 metrics of health care access: health insurance, having an established place for medical care, having a physician visit within the past year, and medical care affordability. Outcomes included receipt of 1 or more COVID-19 vaccines and receipt of a first vaccine within 6 months of vaccine availability. We examined the association between each health care access metric and outcome using logistic regression, unadjusted and adjusted for demographic, geographic, and socioeconomic covariates. RESULTS: In unadjusted analyses, each metric of health care access was associated with the uptake of COVID-19 vaccination and (among those vaccinated) early vaccination. In adjusted analyses, having health coverage (adjusted odds ratio [AOR] 1.60; 95% CI: 1.39, 1.84), a usual place of care (AOR 1.58; 95% CI: 1.42, 1.75), and a doctor visit within the past year (AOR 1.45, 95% CI: 1.31, 1.62) remained associated with higher rates of COVID-19 vaccination. Only having a usual place of care was associated with early vaccine uptake in adjusted analyses. LIMITATIONS: Receipt of COVID-19 vaccination was self-reported. CONCLUSIONS: Several metrics of health care access are associated with the uptake of COVID-19 vaccines. Policies that achieve universal coverage, and facilitate long-term relationships with trusted providers, may be an important component of pandemic responses.

Welfare effect analysis of pay-as-you-go pension system: Deconstruction from the perspective of relative utility and social equality.

This paper studies the redistributive effects of two major pay-as-you-go pension systems by constructing an intergenerational iterative model which does not only considers standard utility but also relative utility. The study find that the two main pay-as-you-go pension systems are both sustainable. If we consider different preferences, then the choice of pension system should depend on the question of whether individuals are more interested in the absolute level of consumption or in the consumption related to a reference group. If the latter is more important, the Beveridgean system is superior, it provides greater protection for vulnerable groups than the Bismarck pension system, and the pension income after retirement is relatively more balanced, but the price is a lower level of consumption in the long run compared to an economy with Bismarckian system. If individuals prefer instead the absolute level of consumption, the Bismarckian system is better, because it guarantees a comparable higher level of consumption, but the disadvantaged groups face a higher risk of poverty and the degree of social inequality will be relatively higher. However, it is important to note that in the long run, only the level of consumption differs, not the speed of growth or number of children.

Association of socioeconomic position with sensory impairment among Chinese population: a nationally representative cohort and Mendelian randomization study.

Aims: To investigate the association between socioeconomic position (SEP) and sensory impairments (SIs). Methods: We used data from the China Health and Retirement Longitudinal Study (CHARLS) (2015). Logistic regressions estimated the odds ratio for associations of SEP with SIs. In addition, Mendelian randomization (MR) analysis was conducted to assess the causal relationship between them with the inverse variance weighting (IVW) estimator. MR-Egger, simple median, weighted median, maximum likelihood, and robust adjusted profile score were employed for sensitivity analyses. Results: In the observational survey, we enrolled 19,690 individuals aged 45 and above. SEP was negatively associated with SIs. Adjusted odds of vision impairment were higher for illiterate (1.50; 95%CI: 1.19, 1.91), less than elementary school diploma (1.76; 95%CI: 1.39, 2.25), middle school diploma (1.53; 95%CI: 1.21, 1.93) and lower income (all p < 0.001). The odds of hearing impairment were significantly higher for people with less than a high school diploma than those with a college degree or higher diploma, for agricultural workers than non-agricultural workers, and for people in low-income families (p < 0.01). The MR analysis also showed that occupation was associated with HI (1.04, 95%CI: 1.01, 1.09, p < 0.05) using IVW. Conclusion: We found that both observational and causal evidence supports the theory that SEP can result in SIs and that timely discovery, targeted management, and education can prevent SIs among middle-aged and older adults.

Communication and Social Determinants of Cancer Preventive Behaviors in Adolescents From Low Socio-Economic Backgrounds in India: A Cross-Sectional Study.

PURPOSE: Promoting cancer preventive behaviors among adolescents, especially those from lower socioeconomic backgrounds, is crucial due to the significant impact of health behaviors in adolescence on disease risk in adulthood. With India witnessing a rise in cancer incidence and mortality, adolescence becomes a pivotal stage for establishing healthy habits, emphasizing the need for early cancer prevention efforts. METHODS: This cross-sectional study used survey data from 2242 adolescents attending public schools of Mumbai, India. Multiple logistic regression was conducted to determine the associations between cancer preventive behaviors and: (1) the individual and social determinants of health, and (2) media exposure. FINDINGS: Merely 21.5% of the adolescents ate fruits and vegetables daily, 50% of the adolescents exercised 3 or more times a week, and 20% of the adolescents admitted having used tobacco and/or supari. Girls were found to have lower odds of exercising, as well as using tobacco and/or supari. Wealth and father's education were positively associated with all 3 cancer preventive behaviors. Media exposure was negatively associated, with television exposure linked to reduced fruits and vegetables consumption, while movies and social media exposure were associated with increased tobacco and/or supari use. INTERPRETATION: Our findings suggest that individual and social determinants of health and media exposure can influence cancer preventive health behaviors in low socio-economic status (SES) adolescents. Efforts to increase awareness to promote cancer preventive behaviors among the adolescents, particularly low SES adolescents, a population more vulnerable to poor health outcomes, is critical.

This study investigates factors that can influence cancer preventive behaviors among low socioeconomic status (SES) adolescents, focusing on dietary habits, physical activity, and avoidance of tobacco and areca nut. Our study gathered data from an underrepresented population of India, which is more vulnerable to poor health outcomes and have less access to health care. Our findings can alert public health officials, policy makers and non-governmental organizations to target this population and customize their intervention strategies to promote health and prevent cancer.