High-income Groups Research Articles

Does international trade improve carbon productivity? Evidence from countries along the Belt and Road.

The Belt and Road Initiative proposed by China has significantly increased trade in countries along the Belt and Road (B&R). Since most of these countries are developing and emerging economies, the pressure to reduce carbon emissions poses a leading challenge for them. Carbon productivity has become a key indicator for assessing the degree of low-carbon development, as it can link economic development with CO2 emission reduction. However, few studies have investigated how international trade affects carbon productivity. Based on panel data from 43 countries along the B&R during 2001-2019, this paper uses a system GMM model to explore the impact of international trade on carbon productivity. Then, we divide the 43 countries in the sample into two groups according to their income levels to compare the different effects of international trade on carbon productivity. The results show that, first, the carbon productivity of the examined B&R countries has an overall increasing trend, and there is a significant heterogeneity of carbon productivity among countries with different income levels. Second, the effects of international trade, export, and import on carbon productivity are all significantly positive, and export's effect is higher than import. In the high-income group, carbon productivity is more likely to be improved by trade than in the middle (low)-income group. Third, economic development level, urbanization, and energy productivity are positively associated with carbon productivity, while CO2 per capita and government size inhibit carbon productivity improvement. Insight into the impact of international trade on carbon productivity provides theoretical support for B&R countries to better leverage foreign trade activities to achieve a green economy.

Social Inequities in Access to Dental Care in Australian Adults over Time.

Social inequities in dental caries are reflected by both inequities in the social structures that contribute to disease severity and inequities in the provision of dental care. This study aimed to describe social differentials in the dental caries experience among Australian adults across a 13-y period and to examine if the highest magnitude of oral health inequities persisted across dental caries prevalence (decayed teeth [DT]) or its management (missing teeth [MT], filled teeth [FT]). Data were from 2 population-based cross-sectional surveys of Australian adult oral health conducted in 2004-2006 (National Survey of Adult Oral Health-1 [NSAOH-1], n = 5,505) and 2017-2018 (NSAOH-2, n = 5,022). In each survey, representative samples of adults were obtained through a 3-stage, stratified sample design within metropolitan and regional areas in each state/territory. Clinical outcomes included the prevalence and mean of DT, MT, FT, and DMFT. Equivalized household income was grouped into approximately quartiles from low to high. Across all income quartiles, the mean DT and % DT >0 was higher in NSAOH-2 than in NSAOH-1. The increase in prevalence was highest in the third highest income group (prevalence difference [PD] = 8.4, from 24.1 to 32.5). Similarly, % MT >0 was lower in NSAOH-2 than in NSAOH-1 across all income groups, with the decrease most marked for the lowest income group (PD = -6.5, from 74.1 to 67.8). Across all income quartiles, % FT >0 was lower in NSAOH-2 than in NSAOH-1. The decrease was the most marked for the lowest income group (PD = -8.9, from 81.1 to 72.2). The findings confirm that although oral health inequities decreased for the most extreme management outcome of dental caries (MT), inequities increased for experience of that disease (DT) and the more conservative management of dental caries (FT). For all D, M, and F components (DMFT), inequities between the lowest and highest household income groups increased from 2004-2006 to 2017-2018. This study found that social inequities in oral health (experience of untreated dental caries and missing teeth) increased between the most socially advantaged and disadvantaged groups between 2004-2006 and 2017-2018. This suggests that models of dental service provision in Australia are increasingly benefitting those who can afford and access the care and who arguably need the services less than their less socially advantaged counterparts do.

Perceptions of the determinants of health across income and urbanicity levels in eight countries

BackgroundA clear understanding of public perceptions of the social determinants of health remains lacking. This paper aimed to describe the relationship between income and urbanicity levels and public views of the determinants of health in eight middle-and high-income countries that varied across multiple characteristics.MethodsWe conducted a cross-sectional online survey in Brazil, China, Germany, Egypt, India, Indonesia, Nigeria, and the United States. Respondents were asked to select what they considered to be most important for health out of a list of ten determinants. We stratified the results by income and urbanicity levels and tested significance of differences between groups using two-tailed χ2 tests. Multivariable logistic regression models tested associations between demographic factors and the likelihood of respondents selecting the genetics, healthcare, income and wealth, or social support determinants.ResultsHere we show 8753 respondents across eight countries. Rankings of determinants are similar across income groups, except for two determinants. Respondents in the highest income group rank genetics in higher proportions (32.4%, 95%CI: 29.0%,35.8%) compared to other income groups. Conversely, those in lowest income group rank social support more frequently (27.9%, 95%CI: 25.3%,30.7%) than other income groups.Those living in urban settings rank healthcare in higher proportions (61.2%, 95%CI: 59.0%,63.4%) compared to non-urban respondents; meanwhile, higher proportions (26.6%, 95%CI: 24.9%,28.3%) of non-urban respondents rank social support as important for health compared to urban respondents.ConclusionDemographic factors play a role in shaping public views of what affects health. Advancing public understanding about determinants of health requires tailoring public health messaging to account for socioeconomic position within a population.

Colorectal cancer screening with fecal immunochemical testing or primary colonoscopy: inequities in diagnostic yield.

Socioeconomic inequalities in the uptake of colorectal cancer screening are well documented, but the implications on inequities in health gain remain unclear. Sixty-year-olds were randomly recruited from the Swedish population between March 2014 and March 2020 and invited to undergo either 2 rounds of fecal immunochemical testing (FIT) 2 years apart (n = 60 137) or primary colonoscopy just once (n = 30 400). By linkage to Statistics Sweden's registries, we obtained socioeconomic data. In each defined socioeconomic group, we estimated the cumulative yield of advanced neoplasia in each screening arm (intention-to-screen analysis). In the biennial FIT arm, we predicted the probability of exceeding the yield in the primary colonoscopy arm by linear extrapolation of the cumulative yield to (hypothetical) additional rounds of FIT. In the lowest income group, the yield of advanced neoplasia was 1.63% (95% confidence interval [CI] = 1.35% to 1.93%) after 2 rounds of FIT vs 1.93% (95% CI = 1.49% to 2.40%) in the primary colonoscopy arm. Extrapolation to a third round of FIT implied a 86% probability of exceeding the yield in the primary colonoscopy arm. In the highest income group, we found a more pronounced yield gap between the 2 screening strategies-2.32% (95% CI = 2.15% to 2.49%) vs 3.71% (95% CI = 3.41% to 4.02%)- implying a low (2%) predicted probability of exceeding yield after a third round of FIT. Yield of advanced neoplasia from 2 rounds of FIT 2 years apart was poorer as compared with primary colonoscopy, but the difference was less in lower socioeconomic groups. ClinicalTrials.gov identifier NCT02078804.

Overweight/obesity, pre-diabetes, diabetes and its association with hypertension and other factors among rural adults (≥18 years) in India

BackgroundNon-communicable diseases are important causes of morbidity and mortality throughout the world. MethodsA community-based cross-sectional study conducted in 10 Indian states using multi-stage random sampling procedures. Information was collected on socio-economic and demographic particulars, anthropometric measurements such as height, weight and waist circumference, fasting blood glucose and blood pressure was measured. One day 24-h dietary recall was done for foods and nutrient intakes. Bivariate and multivariate step-wise logistic regression analyses was done. ResultsThe prevalence of overweight/obesity among rural adults was 23.4 % (95 % CI: 22.9–23.9), while age adjusted prevalence of pre-diabetes was 8.4 % (95 % CI: 8.1–8.7) and diabetes was 6.8, (95 % CI 6.7–7.1), respectively. The prevalence of diabetes was lowest in Uttar Pradesh, West Bengal and Odisha (3–4%) and higher in Kerala and Tamil Nadu (12–15 %). The odds of diabetes was 5.5 times more among elderly, 1.3 times higher among Christians and among high income groups, and 2 times among overweight (CI: 1.50–2.50), obese (CI: 1.61–2.76) and abdominal obesity (OR; 1.57; CI: 1.29–1.91) and 1.6 times more among hypertensives. The odds of diabetes were high among those consuming the lower tertiles of carbohydrates, pulses, milk and milk products and folic acid. Conclusionthe age-adjusted prevalence of diabetes and pre-diabetes was 6.8 % and 8.4 % respectively and the odds of diabetes was high among elderly, among high socio-economic groups, overweight/obese subjects and among hypertensives. Also, knowledge about symptoms of diabetes was low. There is a need to improve awareness for early diagnosis and treatment for control of diabetes and hypertension.

Disparities in the prevalence of acute pulmonary embolism in patients with ovarian cancer: A nationwide analysis.

e17560 Background: Ovarian cancer is the leading cause of death among gynecological cancers. It is highly thrombogenic and is associated with increased venous thromboembolism events. We conducted a retrospective analysis to study the prevalence and disparities in the association of Acute Pulmonary embolism(PE) with ovarian cancer. Methods: National Inpatient Sample (2017-2020) was used to identify the patients with primary diagnosis of Acute PE and was stratified into those with and without concurrent diagnosis of Ovarian cancer ( regional and advanced metastatic disease). Basic demographic variables were analyzed to identify disparities in the prevalence of Acute PE among ovarian cancer patients.Multivariate logistic regression analysis was conducted to examine the association between Acute PE and Ovarian cancer. Results: A total of 651435 patients were hospitalized with a primary diagnosis of Acute PE, and 2980 (0.46%) had a secondary diagnosis of Ovarian cancer. The ovarian cancer group had a greater percentage of white (73.4% vs.71.93%), Hispanics (7.98% vs. 6.04%), and fewer Black patients (15.78% vs. 19.86), p=0.021. Compared to the white, Black population with ovarian cancer (OR=0.77(0.6-0.9); p=0.04) had a decreased likelihood of developing Acute PE without any difference noted in the Hispanics (OR=1.13 (0.81-1.58); p=0.44) and other races (OR=1.11 (0.67-1.83); p=0.67). Patients in the high income groups were more likely to be admitted due to acute PE ($65,000-$85,999: OR=1.35 (1.05-1.73), p=0.018; >$86,000: OR=1.24 (1.14-1.62), p=0.01). A greater percentage of patients with ovarian cancer had private insurance (35.2% vs. 28.91%), while a greater percentage of patients without ovarian cancer had Medicare (54.38% vs. 50.34%) and Medicaid (11.9% vs. 12.5%), p=0.003. Patients with private insurance were more likely to be admitted due to acute PE (OR=1.73(1.36-2.22); p<0.001). Patients with a Charlson comorbidity index of 3 or more had higher odds of Acute PE (OR=1.3(1.12-3.4); p=0.02). A greater percentage of Acute PE patients with ovarian cancer were admitted to large (54.03% vs. 47.86%; p=0.014), urban (95.3% vs. 90.35%; p<0.001), and teaching hospitals (79.87% vs. 69.15%; p<0.001). Teaching hospitals had higher odds of admissions due to acute PE in ovarian cancer patients (OR=1.37(1.07-1.75); p=0.01). On multivariate regression analysis, Ovarian cancer patients had higher odds of Acute PE (OR=1.88 (1.73-2.05); p<0.001). Conclusions: Ovarian cancer patients with Black race and private insurance showed a significantly increased likelihood of admissions due to acute pulmonary embolism. Additionally, urban and teaching hospitals demonstrated higher odds of encountering cases of acute pulmonary embolism. Further prospective studies are necessary to validate the findings presented in our study.

Patterns of Acute Ischemic Stroke Treatment from 2010 to 2020: An Evolving Landscape in Stroke Management Following Thrombectomy Trials.

Population-based studies on stroke can help guide the care of patients with acute ischemic stroke (AIS) by providing health care communities with information regarding the current usage of stroke treatments. It remains unclear how rapidly new techniques, particularly endovascular stroke treatment (EST), are being adopted and whether there is any disparity in their availability. Although studies using the National Inpatient Sample (NIS) have been conducted, updated studies over a longer period may provide further insights. This study aimed to understand patterns of AIS treatment, discharge disposition, in-hospital mortality, and mean length of stay (LOS) for each modality from 2010 to 2020 using the NIS database. This retrospective longitudinal study was conducted using NIS data from 2010 to 2020. Patients were categorized into groups based on whether they received intravenous recombinant tissue plasminogen activator (rt-PA), EST, both rt-PA and EST (combined therapy), or supportive care alone. Demographic, socioeconomic, regional, insurance, and hospital data were also obtained. The primary outcome was the proportion of patients receiving each modality, whereas the secondary outcomes were in-hospital mortality, mean LOS, and discharge disposition. The usage rates increased (p < 0.001) in all groups between 2010 and 2020 (rt-PA: 5.09% to 8.39%, EST: 0.31% to 4.40%, and rt-PA+EST: 0.46% to 1.09%). The highest increase in usage was observed for EST, with a thirteen-fold increase. Mortality decreased from 2010 to 2020 in all groups (rt-PA: 8.45% to 3.54%, EST: 25.22% to 12.50%, and rt-PA+EST: 21.12% in 2010 to 9.30%) (p < 0.001). Combination therapy demonstrated the greatest improvement, with an 11.2% reduction in absolute mortality. Mean LOS was reduced for patients who received rt-PA (6.8 to 4.8 days), EST (9.3 to 8.9 days), and combined therapy (10.0 to 8.3 days) (p < 0.001) over the study period. The proportion of patients discharged to home increased for rt-PA (29.01% to 41.85%), EST (14.13% to 17.70%), and combined therapy (12.89% to 24.29%) (p < 0.001). Overall, stroke treatment usage was higher among the higher income groups, regardless of race. Higher usage was also observed for Whites in the West and Hispanic ethnicities in the South and West. Regardless of income or treatment method, utilization rates were lower for Black patients. Utilization rates were lower for Black patients with Medicare, Medicaid, or self-pay than for White patients. Our study demonstrated that endovascular stroke treatment continues to expand, leading to better outcomes for mortality, LOS, and home discharge. Despite these positive patterns, there are visible inequities across regions, income status, and races.

Does a Good Home Make Older Adults Better off? An Empirical Analysis of the Associations between Age-Friendly Home and Older adults’ Subjective Well-Being

Age-friendly housing, which lays the physical foundation for aging in place and constructing an inclusive society, is crucial for older adults’ healthy aging. This study investigates the associations between age-friendly home environments and subjective well-being (SWB) among Chinese older adults using a nationwide representative survey. We found that a more age-friendly home was associated with reduced depressive symptoms, better cognitive function, and improved life satisfaction. Additionally, older adults living in rural regions, living with family members, and ranking in the higher income group have significantly positive home–SWB associations. Our findings suggest that creating age-inclusive housing can better support older adults aging well.

An Analysis on the Effect of Income Changes in the Resection of Early-Stage Pancreatic Adenocarcinoma.

The impact of socioeconomic inequalities on cancer care and outcomes has been well recognized and the underlying causes are likely multifactorial. Income is regarded as a cornerstone of socioeconomic status and has been assumed to correlate with access to care. We therefore sought to investigate whether income and changes in income would affect the rate of patients undergoing surgical resection for early-stage pancreatic cancer. Inflation-adjusted income data were obtained from the United States Census Bureau from 2010 to 2019. The cancer data were obtained from the SEER database. Counties present in both data sets were included in the analysis. Patients with stage I or II pancreatic cancer who underwent formal resection were deemed to have undergone appropriate surgical management. Patients were grouped into an early (2010-2014) and late (2015-2019) time period. The final analysis included 23968 patients from 173 counties across 11 states. The resection rate was 45.1% for the entire study and rose from 42.8% to 47.4% from the early to late time periods (P < .001). The median change in income between the two time periods was an increase by $2387. The rate of resection was not dependent on income class or income change in our study population. Our surgical care of pancreatic cancer is improving with more patients undergoing resection. In addition, there are now fewer disparities between patients of lower-income and higher-income groups with respect to receiving surgical intervention. This implies that our access to care has improved over the past decade. This is an encouraging finding with regards to reducing health care disparities.

Development of Tourism Industry and Prospects of Employment Generation in Bihar

Bihar is a land of rich diverse culture, a variety of traditions, historical and cultural heritage and many religious and natural tourist spots. Tourism development not only attracts tourists provides them with recreation and generates revenue for the government it also creates employment opportunities around the tourist spots. It has the potential to generate employment for all kinds of people – the lower-income group, the middle-income group, or the higher-income group. Development of a tourist spot and footfall of tourists offers employment opportunities through roadways- buses, autorickshaws, railway platforms, and airways. It creates job opportunities for people involved in hotels and restaurants. A rise in visitors leads to an increased income for people around that area or city. It leads to an increase in the demand for food, vegetables, fruits, garments, groceries, etc. Visitors spend on shopping for ethnic goods, handicrafts, artificial jewellery and other local products. Altogether a developed tourism industry offers employment opportunities to the people and increases their income. In the last two decades, there has been significant development in roadways and electricity facilities in the State. Tourism in Bihar is developing as an Industry but the pace is very slow, the State has to travel a long road in this area. The State has immense potential for tourism development which has not been explored optimally. This paper analyses the prospects of increasing employment opportunities in Bihar through a developing tourism industry in the State.

Socioeconomic inequalities in pandemic-induced psychosocial stress in different life domains among the working-age population

BackgroundPsychosocial stress is considered a risk factor for physical and mental ill-health. Evidence on socioeconomic inequalities with regard to the psychosocial consequences of the COVID-19 pandemic in Germany is still limited. We aimed to investigate how pandemic-induced psychosocial stress (PIPS) in different life domains differed between socioeconomic groups.MethodsData came from the German Corona-Monitoring nationwide study – wave 2 (RKI-SOEP-2, November 2021–February 2022). PIPS was assessed using 4-point Likert scales with reference to the following life domains: family, partnership, own financial situation, psychological well-being, leisure activity, social life and work/school situation. Responses were dichotomised into “not stressed/slightly stressed/rather stressed” (0) versus “highly stressed” (1). The sample was restricted to the working-age population in Germany (age = 18–67 years, n = 8,402). Prevalence estimates of high PIPS were calculated by sex, age, education and income. Adjusted prevalence ratios (PRs) were estimated using Poisson regression to investigate the association between education/income and PIPS; high education and income were the reference groups.ResultsThe highest stress levels were reported in the domains social life and leisure activity. Women and younger participants reported high stress levels more frequently. The highest inequalities were found regarding people’s own financial situation, and PIPS was higher in low vs. high income groups (PR 5.54, 95% CI 3.61–8.52). Inequalities were also found regarding partnerships with higher PIPS in low vs. high education groups (PR 1.68, 95% CI 1.13–2.49) – and psychological well-being with higher PIPS in low vs. high income groups (PR 1.52, 95% CI 1.14–2.04).ConclusionSocioeconomic inequalities in PIPS were found for different life domains. Generally, psychosocial support and preventive interventions to help people cope with stress in a pandemic context should be target-group-specific, addressing the particular needs and circumstances of certain socioeconomic groups.

Revolution in Data Market: A Study on Data Consumption in India

India has been a developing country; in the process of development India has seen massive revolution in information technology. As information technology industry is growing in a fast phase that has enabled the people to use smartphones and computers extensively which has resulted in excessive consumption of data. Smart phones are not just phones now they have become an integral part of our life, as a result of which the data consumption has also seen an immense growth. In this article we will be discussing on how smart phones have replaced many elements and also how extensively data is being consumed in the name of entertainment, though India is in developing stage which has a lot of disparities in rural and urban region, but in urban and semi urban and also in rural some portion of society, terrain there is a community which is using the data enormously. Data consumption has grown a massive growth specially in the period of covid. The covid lock down has also contributed to the OTT platforms like amazon prime, Netflix, voot, zee5 etc are demanded by the middle income and high income group people. We will be comparing the average amount spent on data purchase and average amount of data consumed per head. In this article we have attempted to understand at what rate data is being consumed, what is the average amount of money spend on data per head.

Changing production and consumption patterns for win-win of Minamata Convention on Mercury and common prosperity in China

China, the largest atmospheric mercury (Hg) emitter in the world, signed the Minamata Convention on Mercury in 2013 to control Hg emissions. Meanwhile, China aims to realize common prosperity, which emphasizes narrowing the income gaps. In this process, the income improvement of low-income groups may challenge atmospheric Hg emission reduction via the surge in consumption. However, little is known about the relationship between residents’ income and Hg emissions. This study quantifies the atmospheric Hg footprints (i.e., atmospheric Hg emissions driven by the consumption) of income groups in urban and rural areas and reveals their socioeconomic drivers during 2007–2017. We observed a positive correlation between per capita Hg footprints and per capita income. Less developed inland regions (e.g., the Northwest and Middle of Yellow River) showed a much steeper growth trend of per capita Hg footprints with the increase of per capita income, with the growth rate ranging from 1.37 μg/¥ to 2.17 μg/¥ in 2017. This indicates that income improvement may threaten Hg emission reduction when pursuing common prosperity. Fortunately, for some developed coastal provinces (e.g., Shanghai, Tianjin, and Guangdong), changes in the consumption structure of urban high-income groups and the production structure have contributed significantly to the decrease of Hg emissions. Our findings enlighten the importance of promoting production and consumption transitions in reducing Hg emissions. Collaboration mechanisms should be established to transfer advanced technologies from developed regions to less developed regions. They can complement production-side measures and join forces to realize the win-win of Minamata Convention on Mercury and common prosperity.

Research on Evaluating and Regulating the Rapid Wealth Growth Rate of High Income Groups from the Perspective of Policy Literature

Social inequality is a complex and profound phenomenon, with diverse roots and manifestations. One significant aspect is the rapid growth of wealth among high-income groups, which widens the wealth gap compared to middle and low-income groups. This article explores the necessity and possible strategies to promote social equity; Improve social stability; Promote sustainable economic development; Enhance social cohesion; Starting from the necessity of preventing economic crises in these five aspects, possible strategies are proposed, mainly involving: adjusting tax policies; Wealth redistribution policy; Promote employment and educational opportunities; Legal and policy framework; Strategies such as promoting international cooperation. Through the above strategies, it is possible to effectively control the rapid growth of wealth among high-income groups, promote social equity and sustainable development.

The social stratification of internal migration and daily mobility during the COVID-19 pandemic.

This study leverages mobile data for 5.4 million users to unveil the complex dynamics of daily mobility and longer-term relocations in and from Santiago, Chile, during the COVID-19 pandemic, focusing on socioeconomic differentials. We estimated a relative increase in daily mobility, in 2020, for lower-income compared to higher-income regions. In contrast, longer-term relocation rose primarily among higher-income groups. These shifts indicate nuanced responses to the pandemic across socioeconomic classes. Compared to 2017, economic factors in 2020 had a stronger influence on the decision to relocate and the selection of destinations, suggesting transformations in mobility behaviors. Contrary to previously held beliefs, there was no evidence supporting a preference for rural over urban destinations, despite the surge in emigration from Santiago during the pandemic. This study enhances our understanding of how varying socioeconomic conditions interact with mobility decisions during crises and provides insights for policymakers aiming to enact fair and evidence-based measures in rapidly changing circumstances.

Nonlinear associations between the ratio of family income to poverty and all-cause mortality among adults in NHANES study

Socioeconomic status (SES) has been linked to mortality rates, with family income being a quantifiable marker of SES. However, the precise association between the family income-to-poverty ratio (PIR) and all-cause mortality in adults aged 40 and older remains unclear. A cross-sectional study was conducted using data from NHANES III, including 20,497 individuals. The PIR was used to assess financial status, and various demographic, lifestyle, and clinical factors were considered. Mortality data were collected from the NHANES III linked mortality file. The study revealed a non-linear association between PIR and all-cause mortality. The piecewise Cox proportional hazards regression model showed an inflection point at PIR 3.5. Below this threshold, the hazard ratio (HR) for all-cause mortality was 0.85 (95% CI 0.79–0.91), while above 3.5, the HR decreased to 0.66 (95% CI 0.57–0.76). Participants with lower income had a higher probability of all-cause mortality, with middle-income and high-income groups showing lower multivariate-adjusted HRs compared to the low-income group. This study provides evidence of a non-linear association between PIR and all-cause mortality in adults aged 40 and older, with an inflection point at PIR 3.5. These findings emphasize the importance of considering the non-linear relationship between family income and mortality when addressing socioeconomic health disparities.

Disparities in Postpartum Care Visits: The Dynamics of Parental Leave Duration and Postpartum Care Attendance

ObjectivesTo understand differences in the relationship between parental leave duration and postpartum care across sociodemographic and income groups.MethodsWe used data from six states participating in the Center for Disease Control and Prevention’s yearly PRAMS study from 2016 to 2019 with a total sample of 12,442 people. Bivariable analyses assessed demographics among those who took more or less parental leave and estimated the prevalence of not accessing postpartum care by demographics, stratified by leave length. We used propensity score weighting to estimate the predicted risk and risk ratios of not accessing postpartum care with < 7 as compared to > = 7 weeks of leave, stratified by income.ResultsThere were significant differences in the prevalence of not accessing care stratified by leave duration, and disparities in utilization by race, ethnicity, and income. A shorter leave duration was associated with a higher risk of not accessing care (RR: 1.98 [CI 1.25–3.20] in higher income group, RR: 1.45 [CI 1.08, 1.99] in lower). The absolute risk of not accessing care was highest in the lower income group regardless of leave duration, though patterns of increased utilization with longer leave duration were consistent in both groups.Conclusions for practiceWhile shorter leave durations increased the risk of not attending postpartum care, those with lower incomes had the highest absolute risk of not attending care. Policies to support paid leave and extended leave duration are necessary, along with additional supports to increase postpartum care utilization, particularly among low-income families.

Inequality in dental flossing behavior among Korean adults based on household income levels.

The aim of this study was to estimate the association between household income and dental flossing. This cross-sectional study investigated the impact of household income on flossing among 9,391 adults aged 30+ with ≥20 natural teeth, utilizing data from the seventh Korea National Health and Nutrition Examination Survey (2016-2018). Outcome measures included flossing (yes/no), with income categorized into 4 levels: lowest, medium to low, medium to high, and highest. Logistic regression, adjusted for age, gender, brushing frequency, recent dental exams, periodontitis, smoking, and alcohol use, was employed to evaluate the influence of socioeconomic status on oral hygiene practices. In the highest income group, flossing was 62.6% more prevalent than in the lowest income group (adjusted odds ratio [aOR], 1.63; 95% CI, 1.27 to 2.08). The strongest association between income levels and flossing was observed in individuals aged ≥70 years (aOR, 3.64; 95% CI, 1.86 to 7.11), with a decreasing strength of association in the 60s (aOR, 1.72; 95% CI, 1.05 to 2.84) and 50s age groups (aOR, 1.69; 95% CI, 1.07 to 2.68). Higher-income women demonstrated a higher frequency of flossing than their lower-income counterparts (aOR, 1.67; 95% CI, 1.24 to 2.23). Higher-income individuals without periodontitis were more likely to floss (aOR, 1.64; 95% CI, 1.23 to 2.18), and among those with periodontitis, flossing was significantly associated only with the highest income category (aOR, 1.64; 95% CI, 1.10 to 2.44). The findings of this study indicate a significant correlation between higher household income levels and an increased prevalence of flossing.

Technology progress and clean vehicle policies on fleet turnover and equity: insights from household vehicle fleet micro-simulations with ATLAS

ABSTRACT This paper documents the design and application of ATLAS (Automobile and Technology Lifecycle-Based ASsignment), a comprehensive household vehicle transaction and technology adoption micro-simulator in the San Francisco Bay Area. ATLAS evolves the fleet mix of individual households by simulating the vehicle transaction and choice decisions in response to co-evolving demographics, land use, and vehicle technology simulations. While most existing literature has focused on the aggregate clean vehicle uptake, this paper differentiates distributional effects and decomposes the underlying mechanisms across heterogeneous sub-populations of households. Using scenarios and sensitivity simulations that vary vehicle technology and policy assumptions, we find that Zero Emission Vehicles (ZEVs) penetrate into higher income groups at a faster rate than into lower income groups, which is intuitive and aligns with expectations. Interestingly, the relative income disparity in ZEV ownership shrinks over time across all scenarios, with a ZEV mandate coupled with declining battery cost leading to the greatest reduction in disparity of ZEV ownership by 2050. Federal, state, and local financial incentives influence the redistribution of ZEV uptake across income groups and contribute to narrowing income disparity. Vehicle transaction frequency and new versus used market dynamics are found to be important factors contributing to the income disparity.

Perception matters: How air pollution influences life satisfaction in China

Academic studies on environmental pollution have convincingly acknowledged the salient relevance of ambient pollutant emissions on individual life satisfaction. However, an understanding of how the different dimensions of air pollution influence public self-assessment of their living condition is required. This research investigates whether objective pollutant emissions and subjective evaluation influence individual life satisfaction. The findings were based on data from the China Environment Yearbook and China Social Survey in 2019. The multi-level linear regression model found that air pollutants emissions, including particulate matter (PM) and sulfur dioxide (SO2), failed to explain the variations in public life satisfaction because of the lag effect of public perception. A significant nexus between perceived air pollution and public life satisfaction was observed at a significance level of 0.01. Specially, as the perceived air pollution by the public increased by one-point, life satisfaction decreased by 0.22 on a scale of 1–10, on average. Heterogeneous analysis based on income further suggested the salient negative effect of PM emissions on life satisfaction only occurred in the high-income group. The findings were robust after various methodological analyses. This study has theoretical implications for understanding the effects of air pollution on public subjective perception and provides guidance for how the government can manage the relationship between environmental governance and life satisfaction.