The effect of socio-economic status on children's dental health.

The aim of the present study was to record the oral health status of children from different socioeconomic backgrounds and correlate these findings with parent-associated factors. It comprised a cross-sectional study of healthy children, aged 6-12 years, attending either the Reception and Solidarity Center of the Municipality of Athens or the Postgraduate Paediatric Dentistry Department (NKUA) for dental care. Data regarding the demographics of both parents-guardians, as well as the children, and oral hygiene and dietary habits were collected through a structured questionnaire. This was followed by a thorough clinical examination evaluating oral hygiene status, gingival inflammation and caries experience. Analysis was based on the socioeconomic status (SES) of the parents which was according to the family income. Families with a monthly income of <1400 euros were considered as being of a low SES and families with incomes of >1400 euros as medium. Data were presented in frequency tables and significance of calculated differences was tested using chi-square and Fisher's exact tests. Multivariate regression analysis was used to detect possible risk factors for development of poor dental health. The sample consisted of 216 children (146 from a low and 70 from a medium SES) with a mean chronological age of 9.19 years. Parents from low SES were younger, of lower education, had lived abroad most of their lives and were unemployed or worked in the private sector. Children from low SES backgrounds reported infrequent dental visits, consumed more meals and had more sugary snacks. This was reflected in their worse dental health with significantly higher values for oral hygiene and caries indices. Despite the above differences, none of the parent-associated factors were significantly correlated to worse dental health. In conclusion, SES of parents is reflected in the oral health of children, although it is not a significant predictor of dental health.

Negative life events, sleep quality, and depression among older adults in Shandong Province, China: A conditional process analysis based on economic income.

AIM: Negative life events have been reported as a risk factor for depression. However, the mechanism between negative life events and depression is still unclear. This study aimed to explore the mediating role of sleep quality and the moderating role of economic income in the association between negative life events and depression among older adults aged 60 years and over. METHODS: A multi-stage stratified sampling method was used to select elderly individuals over 60 years old in Shandong, China, making use of the Household Health Interview Survey (2020). In total, 3868 older adults completed the measures of negative life events, sleep quality, depression, and economic income. RESULTS: Negative life events positively predicted depression among the elderly (proportion of direct effect, 55.12%), and poor sleep quality could mediate this association (proportion of indirect effect, 44.87%). Economic income played a moderating role in the relationship between negative life events, sleep quality, and depression (the first and second half of the mediating effect, the direct effect of negative life events on depression). Both effects were weaker among the elderly with higher economic incomes. CONCLUSIONS: Negative life events had positive effects on depression in older adults. Economic income moderated the direct effect of negative life events and the mediating effect (first and second half) of sleep quality on depression. When the elderly experience negative life events, interventions for improving their sleep quality and financial support could effectively prevent depression. Geriatr Gerontol Int 2024; 24: 751-757.

It's not who you know, but who you are: Explaining income gaps of stigmatized-caste business owners in India.

Scholars across disciplines and around the world have diverted research attention to rising income inequalities across groups and strategies to reduce them. The literature has broadly identified human capital and social capital as two potential tools to facilitate economic mobility and to reduce inequalities. However, it is not known whether these tools work equally well for stigmatized groups, particularly in societies with systemic inequalities. Analyzing data from a pan-India survey, we show that business owners from stigmatized groups (i.e., Dalits in India, who are stigmatized as untouchables) experience a business income gap of around 16% compared to others, including those business owners who are from communities that are disadvantaged but are not similarly stigmatized. We find that, instead of being reduced, this gap in fact increases at higher levels of social capital, especially bridging social capital, illustrating the social processes of stigmatization that limit the benefits that Dalits can reap from social capital. By contrast, Dalits can reap similar income benefits as others from human capital. Our results show that human capital helps stigmatized groups mitigate the implications of stigma, but social capital does not.

The impact of internet usage preferences on labor income: Evidence from China.

BACKGROUND: The widespread application and iterative updating of computers and Internet communication technologies have not only increased productivity and enhanced intra- and inter-enterprise collaboration, but have also led to significant changes in the labor market and residents' labor income. In the digital era, accepting digital technology and possessing a certain degree of digital literacy have become the necessary abilities for people to survive and develop. However, the differences in digital literacy caused by individual differences will inevitably bring about a series of chain reactions. Therefore, it is necessary to study the subtle impact of Internet usage preference on residents' labor income in the context of digital transformation to promote digital equity. OBJECTIVE: This study aims to empirically analyze micro-level survey data to reveal the impact of individual differences in internet usage preferences on their labor income. The findings provide theoretical references for government policy formulation and individual development. METHODS: A function model was established to analyze the impact of individual internet usage preferences on labor income. Relevant data from the authoritative Chinese General Social Survey (CGSS2017) were selected, and empirical analyses for significance, heterogeneity, and robustness were conducted using the ZINB and CMP models in the Stata statistical software. CONCLUSION: (1) Higher Internet Usage Frequency (IUF) increases the likelihood of higher income. (2) Engaging in Online Social Networking (OSN) helps in accumulating social capital, leading to higher labor income. Meanwhile, participating in Online Entertainment (OE) relieves work and life stresses, thereby increasing labor income. Proficiency in Accessing Online Information (AOI) is associated with higher labor income, while frequent involvement in Online Business (OB) is correlated with higher personal income. Additionally, the Marginal utility of these internet usage preferences indicate that OB > AOI > OSN > OE. (3) Individual variations in physical, psychological, and social characteristics significantly influence the labor income effects of internet usage preferences. (4) There are substantial differences in the labor income effects of internet usage preferences between urban and rural areas and across different regions. (5) Education attainment has a positive mediating effect on the labour income effect of individual Internet use preferences, and enhancing residents' digital literacy has a positive effect on increasing their labour income and alleviating inequality in digital gains. (6) The popularity of Internet technology is the background that triggers an individual's Internet use, and the acceptance of a particular Internet technology is catalyzed by an individual's perception of the value and difficulty of mastering that technology; an individual's biased learning or proficiency in a particular Internet technology in order to gain higher competitiveness and value in the labour market is an important internal driving force.

Indicators of social inequalities associated with cancer mortality in Brazilian adults: scoping review. / Indicadores de desigualdades sociais associados à mortalidade por neoplasias nos adultos brasileiros: revisão de escopo.

The objective of this study was to identify indicators of social inequalities associated with mortality from neoplasms in the Brazilian adult population. A scoping review method was used, establishing the guiding question: What is the effect of social inequalities on mortality from neoplasms in the Brazilian adult population? A total of 567 papers were identified, 22 of which were considered eligible. A variety of indicators were identified, such as the Human Development Index and the Gini Index, which primarily assessed differences in income, schooling, human development and vulnerability. A single pattern of association between the indicators and the different neoplasms was not established, nor was a single indicator capable of explaining the effect of social inequality at all levels of territorial area and by deaths from all types of neoplasms identified. It is known that mortality is influenced by social inequalities and that the study of indicators provides an opportunity to define which best explains deaths. This review highlights important gaps regarding the use of non-modifiable social indicators, analysis of small geographical areas, and limited use of multidimensional indicators.

O objetivo deste estudo foi identificar indicadores de desigualdades sociais associados à mortalidade por neoplasias na população adulta brasileira. Utilizou-se como método a revisão de escopo, estabelecendo-se a pergunta norteadora: qual o efeito das desigualdades sociais na mortalidade por neoplasias na população adulta brasileira? Foram identificados 567 trabalhos, sendo 22 considerados elegíveis. Identificou-se uma diversidade de indicadores, como o Índice de Desenvolvimento Humano e o Índice de Gini, entre outros, que avaliaram primordialmente diferenças de renda, escolarização, desenvolvimento humano e vulnerabilidade. Não foi estabelecido um único padrão de associação entre os indicadores e as diferentes neoplasias, assim como não se identificou um indicador único capaz de explicar o efeito da desigualdade social em todos os níveis de área e por óbitos por todos os tipos de neoplasias, mas identificou-se que a mortalidade é influenciada pelas desigualdades sociais e que o estudo dos indicadores proporciona definir qual melhor explica os óbitos. Essa revisão destaca importantes lacunas referentes ao uso de indicadores sociais não modificáveis, à análise de pequenas áreas e ao uso limitado de indicadores multidimensionais.

A person-reported cumulative social risk measure does not show bias by income and education.

BACKGROUND: Social risk such as housing instability, trouble affording medical care and food insecurity are a downstream effect of social determinants of health (SDOHs) and are frequently associated with worse health. SDOHs include experiences of racism, sexism and other discrimination as well as differences in income and education. The collective effects of each social risk a person reports are called cumulative social risk. Cumulative social risk has traditionally been measured through counts or sum scores that treat each social risk as equivalent. We have proposed to use item response theory (IRT) as an alternative measure of person-reported cumulative social risk as IRT accounts for the severity in each risk and allows for more efficient screening with computerized adaptive testing. METHODS: We conducted a differential item functioning (DIF) analysis comparing IRT-based person-reported cumulative social risk scores by income and education in a population-based sample (n = 2122). Six social risk items were analyzed using the two-parameter logistic model and graded response model. RESULTS: Analyses showed no DIF on an IRT-based cumulative social risk score by education level for the six items examined. Statistically significant DIF was found on three items by income level but the ultimate effect on the scores was negligible. CONCLUSIONS: Results suggest an IRT-based cumulative social risk score is not biased by education and income level and can be used for comparisons between groups. An IRT-based cumulative social risk score will be useful for combining datasets to examine policy factors affecting social risk and for more efficient screening of patients for social risk using computerized adaptive testing.

Impact of eliminating retirement earnings test on labor supply and pension benefit claims.

This study explores the hypothetical elimination of Japan's retirement earnings test (ET) for public pensions, focusing on its implications for older workers' labor supply and pension-claiming behaviors. The ET currently reduces public pension benefits for individuals aged 65 and older if their earnings exceed specified thresholds, potentially discouraging employment in this demographic. Notably, the Japanese ET influences both immediate and future pension benefits, thus diminishing current payouts for working pensioners and foregoing beneficial actuarial adjustments-adjustments based on actuarial calculations that would otherwise increase future benefits to account for delayed pension claims. This dual impact may discourage the labor supply and influence pension-claiming behavior among older workers. Through a survey-based experiment with male workers aged 40-59 years expected to face the ET upon retirement, we assess three reform scenarios as the first study in the literature: (1) eliminating future benefit reductions through actuarial adjustments, thereby enhancing the value of deferred pension claims; (2) removing immediate benefit suspensions to increase current pension payments directly; and (3) a comprehensive reform combining both approaches. Our findings reveal that eliminating reductions through actuarial adjustments increases the intensive margin (labor hours and income) and encourages delayed pension claims. Conversely, removing immediate benefit suspensions influences both the extensive margin (decision to work) and the intensive margin but leads to earlier pension claims. By highlighting the importance of differentiating between immediate and future benefit components in designing ET reforms, this study demonstrates their significant impact on labor supply and pension-claiming decisions.

Mechanism and empirical evidence on new-type urbanization to narrow the urban-rural income gap: Evidence from China's provincial data.

The main component of China's income gap is the urban-rural income gap, which is largely affected by urbanization. It is worth studying how new-type urbanization affects the income gap between urban and rural areas. Research mostly focuses on the urbanization rate as the core explanatory variable to explain the impact using one or two factors. This paper analyzes the mechanism of the effect using a comprehensive number of factors, with the quality of new-type urbanization development as the core explanatory variable. In terms of theoretical research, we believe that new-type urbanization affects the urban-rural income gap by promoting the transfer of labor, changing industrial structure, and policy tendency. Using both static and dynamic empirical analyses, we test the impact of new-type urbanization on the urban-rural income gap based on China's provincial data. We find that new-type urbanization is conducive to narrowing the income gap between urban and rural areas. The transfer of labor significantly reduces the urban-rural income gap. However, the upgrading of industrial structure will enlarge the gap. The impact of China's policy orientation is negligible. Policy should focus on promoting urbanization and improving the marginal rate of return of agriculture, improve the level of human capital, reverse the mismatch between employment structure and industrial structure, increase support for rural areas, and make substantial progress in promoting common prosperity.

Income differences in time to colon cancer diagnosis.

INTRODUCTION: People with low income have worse outcomes throughout the cancer care continuum; however, little is known about income and the diagnostic interval. We described diagnostic pathways by neighborhood income and investigated the association between income and the diagnostic interval. METHODS: This was a retrospective cohort study of colon cancer patients diagnosed 2007-2019 in Ontario using routinely collected data. The diagnostic interval was defined as the number of days from the first colon cancer encounter to diagnosis. Asymptomatic pathways were defined as first encounter with a colonoscopy or guaiac fecal occult blood test not occurring in the emergency department and were examined separately from symptomatic pathways. Quantile regression was used to determine the association between neighborhood income quintile and the conditional 50th and 90th percentile diagnostic interval controlling for age, sex, rural residence, and year of diagnosis. RESULTS: A total of 64,303 colon cancer patients were included. Patients residing in the lowest income neighborhoods were more likely to be diagnosed through symptomatic pathways and in the emergency department. Living in low-income neighborhoods was associated with longer 50th and 90th-percentile symptomatic diagnostic intervals compared to patients living in the highest income neighborhoods. For example, the 90th percentile diagnostic interval was 15 days (95% CI 6-23) longer in patients living in the lowest income neighborhoods compared to the highest. CONCLUSION: These findings reveal income inequities during the diagnostic phase of colon cancer. Future work should determine pathways to reducing inequalities along the diagnostic interval and evaluate screening and diagnostic assessment programs from an equity perspective.

Gender diversity and profit efficiency of microfinance institutions: A Sub-Saharan study.

Irrespective of the promising opportunity to improve profit efficiency by at least 73%, microfinance institutions operating in Sub-Saharan Africa are efficient only for 27%, far below the average value. The conclusion is drawn after analyzing the profit efficiency of the microfinance institutions using the stochastic frontier approach applied to data obtained from 128 microfinance institutions operating in 34 Sub-Saharan African countries. The study results suggest the presence of uniform profit efficiency experience across time among microfinance institutions. Microfinance institutions operating in low-income countries and credit union form microfinance are economically more efficient than their counterparts. Furthermore, the profit efficiency of microfinance institutions is significantly affected by total assets, cost per loan, loan per staff, legal status, and the county's income group of microfinance. Notably, the profit efficiency of microfinance institutions is adversely affected by the presence of female borrowers and female loan officers suggesting that gender diversity plays a role in the efficiency of microfinance institutions. Finally, we recommend that the managing body of microfinance work more on improving labor efficiency, earning asset utilization, loan collection efficiency, women's involvement and the hottest technology implementation.

The impact of China's digital inclusive financial development gap on the optimization of rural consumption structure.

Implementing the rural revitalization strategy is crucial for ensuring and enhancing the livelihoods of the vast rural population. The upgrading of rural consumption reflects the gradual realization of rural residents' pursuit of a better life, and the rapid development of digital inclusive finance provides strong support for this. Based on the Digital Inclusive Finance Index released by Peking University and panel data from 30 provinces across the country, this study examines the role of digital inclusive finance in optimizing rural consumption structure through the mediation effect model and analyzes its spatial spillover effects using the spatial Durbin model. The research shows that narrowing the development gap in digital inclusive finance is crucial for upgrading the rural consumption structure, which helps to promote rural residents' transition to higher-level consumption. Through the analysis of the spatial Durbin model, this study finds spatial spillover effects in this process, meaning that financial development in a particular region promotes local development but inhibits development in neighboring areas. Among various dimensions, the impact of breadth of coverage is the most significant. This trend of financial development affects consumption structure by increasing agricultural productivity and rural residents' operational income, particularly highlighting its impact on operational income. However, there are significant differences between the eastern and central-western regions in optimizing rural consumption structure, with the eastern region benefiting more while the effects in the central-western region are limited and sometimes even negative. Therefore, regional characteristics should be fully considered in policy formulation to narrow the development gap in digital inclusive finance and achieve high-quality and sustainable development.

National income accounting attributes and economic welfare. Evidence from Pakistan.

Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

The dilemma between fertility and work: How did the Universal Two-Child policy affect Chinese women's labor income?

Based on China Family Panel Studies (CFPS) data from 2012 to 2020, we estimate the effect of the "Universal Two-Child" (UTC) policy on women's employment income in China by the Difference-in-Difference (DID) model. Our results show that the UTC policy leads to an average decrease of 20.86% in women's employment income. Moreover, we reveal the mediation effect in the impact of the UTC policy on women's income and find that the UTC policy leads to a decrease in women's income by reducing their working hours and hourly wages. Furthermore, we find that the negative impacts of the UTC policy on women's employment income are greater among women under 35 years old and those without a bachelor's degree.

The academic Great Gatsby Curve.

The Great Gatsby Curve measures the relationship between income inequality and intergenerational income persistence. By using genealogical data of over 245 000 mentor-mentee pairs and their academic publications from 22 different disciplines, this study demonstrates that an academic Great Gatsby Curve exists as well, in the form of a positive correlation between academic impact inequality and the persistence of impact across academic generations. We also provide a detailed breakdown of academic persistence, showing that the correlation between the impact of mentors and that of their mentees has increased over time, indicating an overall decrease in academic intergenerational mobility. We analyse such persistence across a variety of dimensions, including mentorship types, gender and institutional prestige.

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

Purpose: The objective of this study is to gain a more nuanced understanding of the specific impact of income inequality on the utilization of healthcare services for older adults. Additionally, the study aims to elucidate the moderating and mediating roles of public transfer income and psychological health in this context. Methods: A systematic examination of the impact of income inequality on healthcare utilization among older adults was conducted through field questionnaire surveys in six cities across three major geographical regions (West, Central, and East). The analysis employed baseline regression, as well as mediating and moderating effect tests. Results: First, there is a negative relationship between income inequality and the use of therapeutic healthcare services (ß1 = -0.484, P < 0.01) and preventive healthcare services (ß2 = -0.576, P < 0.01) by older adults. This relationship is more pronounced in the low- and medium-income groups as well as in the western region. The mediating effect of psychological state is significant (ß3 = -0.331, P < 0.05, ß4 = -0.331, P < 0.05). Public transfer income plays a significant role in regulation. The moderating effect of public transfer income on therapeutic services was more significant in low-income groups (ß5 = 0.821, P < 0.01). The moderating effect of public transfer income on preventive services was more significant in middle-income groups (ß6 = 0.833, P < 0.01). Conclusion: The study clearly demonstrates a significant negative correlation between income inequality and the utilization of healthcare services by older adults. Furthermore, the study reveals that this relationship is particularly pronounced among older adults in low- and medium-income and Western regions. This detailed analysis of regional and income level heterogeneity is of particular value in this field of research. Secondly, this study attempts to integrate the two pivotal dimensions of public transfer income and psychological state for the first time, elucidating their moderating and mediating roles in this relationship. The findings indicate that public transfer income serves as a moderating factor, exerting a notable "reordering effect" on income inequality and resulting in a "deprivation effect." Such factors may impede the utilization of medical services, potentially influencing the psychological state of older adults.

Family out-of-pocket expenditure for type 2 diabetes mellitus care and percentage of family income.

BACKGROUND: Type 2 diabetes has economic implications involving family income and out-of-pocket spending. OBJECTIVE: Determine family out-of-pocket expenditure for type 2 diabetes mellitus care and percentage of family income. MATERIAL AND METHODS: Study of family out-of-pocket spending in families with patients with type 2 diabetes treated at primary care level. Out-of-pocket expenses included expenses for transportation, food-drinks, and external medications. Family income corresponded to the total economic income contributed by family members. The percentage of out-of-pocket spending in relation to family income was identified with the relationship between these two variables. Statistical analysis included averages and percentages. RESULTS: The annual family out-of-pocket expenditure on transportation was $2,621.24, the family out-of-pocket expenditure on food and beverages was $1,075.67, and the family out-of-pocket expenditure on external medications was $722.08. The total annual family out-of-pocket expense was $4,418.89 and corresponds to 4.73% of family income. CONCLUSION: The family out-of-pocket expense in the family with a patient with diabetes mellitus 2 was $4,418.89 and represents 4.73% of the family income.

ANTECEDENTES: La diabetes tipo 2 tiene implicaciones económicas en el ingreso familiar y el gasto de bolsillo. OBJETIVO: Determinar el gasto de bolsillo familiar en la atención de la diabetes mellitus tipo 2 y el porcentaje que representa en el ingreso familiar. MATERIAL Y MÉTODOS: Estudio de gasto de bolsillo de las familias con pacientes con diabetes tipo 2 atendidos en el primer nivel de atención. El gasto de bolsillo familiar incluyó gasto en traslado, alimentos-bebidas y medicamentos externos. El ingreso familiar correspondió al total de ingresos económicos aportados por los miembros de la familia. El porcentaje del gasto de bolsillo con relación al ingreso familiar se identificó con la relación entre estas dos variables. El análisis estadístico incluyó promedios y porcentajes. RESULTADOS: El gasto de bolsillo familiar anual en transporte fue de $2621.24, en alimentos y bebidas fue de $1075.67 y en medicamentos externos fue de $722.08. El gasto familiar de bolsillo total anual fue de $4418.89 y correspondió a 4.73 % del ingreso familiar. CONCLUSIÓN: El gasto de bolsillo en las familias con un paciente con diabetes mellitus tipo 2 fue de $4418.89 y representó 4.73 % del ingreso familiar.

Desigualdad en las prácticas de lactancia y alimentación complementaria en la Argentina, según nivel de ingresos del hogar en 2018-19 / Inequality in breastfeeding and complementary feeding practices in Argentina by household income level in 2018­2019

Introducción. La calidad de la alimentación es un derecho vinculado con la supervivencia, el crecimiento saludable, la prevención de enfermedades crónicas y malnutrición en todas sus formas. El objetivo de este trabajo fue analizar las prácticas de lactancia y de alimentación de menores de 2 años de áreas urbanas de la Argentina en 2018-19, según el nivel de ingreso de los hogares. Población y métodos. Estudio secundario con datos de la 2da. Encuesta Nacional de Nutrición y Salud 2018-19. Se analizaron indicadores de lactancia y alimentación complementaria, según metodología de la Organización Mundial de la Salud (OMS) y Unicef. Se estratificó según nivel de ingresos del hogar. Resultados. El análisis incluyó 5763 menores de 24 meses. Aunque el 97 % fue alguna vez amamantado, solo el 47 % de los menores de 6 meses tuvo lactancia exclusiva el día previo y el 48 % mantenía la lactancia luego del año, con mayor prevalencia en los niños/as de menores ingresos. En el día previo, el 23 % de los niños/as de 6 a 23 meses no consumió ninguna verdura o fruta; el 60 % consumió alimentos no saludables y el 50 %, bebidas dulces. Las bebidas dulces y la ausencia de frutas y verduras fueron mayores en aquellos de hogares de menores ingresos. Conclusión. La calidad de la alimentación de los niños/as dista de las recomendaciones y está condicionada por los ingresos. En los sectores empobrecidos, es menor el inicio temprano de la lactancia, la diversidad alimentaria mínima y el consumo de frutas y verduras, y es mayor el consumo de bebidas dulces.

Introduction. Diet quality is a right related to survival, healthy growth, prevention of chronic diseases, and malnutrition in all its forms. The objective of this study was to analyze breastfeeding and feeding practices in children younger than 2 years from urban areas of Argentina in 2018­2019 according to their household income level. Population and methods. Secondary analysis of data of the Second National Survey on Nutrition and Health (ENNyS2) of 2018­2019. Breastfeeding and complementary feeding indicators proposed by the World Health Organization (WHO) and the United Nations Children's Fund (UNICEF) were analized. Data were stratified by household income level. Results. The analysis included 5763 children younger than 24 months old. Although 97% was ever breastfed, only 47% of infants younger than 6 months were exclusively breastfed the previous day and 48% continued with breastfeeding after 1 year old, with a higher prevalence in low-income children. The previous day, 23% of children aged 6 to 23 months did not eat any fruit or vegetable, 60% consumed unhealthy foods, and 50% consumed sweet beverages. The consumption of sweet beverages and the absence of fruit and vegetables were higher in low-income households. Conclusion. The quality of children's diet is far from the recommendations and is conditioned by income. Early initiation of breastfeeding, minimum dietary diversity, fruit and vegetable consumption are lower and sweet beverage consumption is greater in impoverished sectors.

Long-Term Trends in Access to Dental Care in Canada.

OBJECTIVES: Although routine dental care is essential for both oral and overall health, in Canada, access to such care is uneven. Those with low or medium income and no workplace dental coverage often face financial barriers in accessing dental care. However, the factors that affect access - income, employer-provided health benefits and public dental care subsidy programs - have changed over the decades. This study examines the net impact of these factors on long-term trends in dental care access among different groups in Canada over the past 5 decades. METHODS: Using data from 1 235 268 respondents to 20 Canadian cross-sectional surveys administered between 1972 and 2017, we estimated the proportion of people who had at least 1 consult with a dental professional over the past 12 months. Prevalence trends by region, age group, education and income level were compared. RESULTS: In each age group, the proportion of people consulting a dental professional at least annually gradually increased over the last 5 decades. During the recession of the early 1990s, a temporary drop in use occurred, particularly among younger age groups. We noted significant regional differences in use among individuals in the same age group: rates were highest in Ontario and British Columbia and lowest in Quebec and the Atlantic provinces. Marked differences in use by level of education and income persisted over the 5 decades. Dental care use was significantly higher among those with higher levels of education and higher incomes. The increase in overall rates of dental care use suggest that an increasing fraction of Canadians have higher incomes or are better educated, or both. Nevertheless, about a third of Canadians ≥ 15 years did not receive dental care in 2015. CONCLUSIONS: Given that dental care is almost wholly privately funded and displays a high degree of income-related inequity, there is an urgent need for policy action to address unequal access to dental care in Canada.

Global food expenditure patterns diverge between low-income and high-income countries.

Globalization, income growth and changing cultural trends are believed to prompt consumers in low-income countries to adopt the more affluent diet of high-income countries. This study investigates the convergence of food expenditure patterns worldwide, focusing on total food expenditure, raw food categories and ultra-processed foods and beverages across more than 90 countries over the past decades. Contrary to prior belief, we find that food expenditure patterns of lower-income countries do not universally align with those of higher-income nations. This trend is evident across most raw food categories and ultra-processed foods and beverages, as the income level of a country continues to play a crucial role in determining its food expenditure patterns. Importantly, expenditure patterns offer estimates rather than a precise idea of dietary intake, reflecting consumer choices shaped by economic constraints rather than exact dietary consumption.