Socioeconomic inequality of health-related quality of life in cancer survivors in South Korea.

BACKGROUND: We investigated the inequalities in health-related quality of life (HRQoL) among cancer survivors in Korea, focusing on income and education levels. The slope index of inequality (SII) and relative index of inequality (RII) were utilized to analyze these disparities. METHODS: Data from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted between 2007 and 2021 was analyzed. The HRQoL was assessed using the EQ-5D questionnaire, which included five problem areas: mobility, self-care, usual activity, pain/discomfort, and anxiety/depression. Logistic regression was employed to calculate the odds ratios (ORs) for each education and income level, indicating the probability of reporting problems. Furthermore, the slope index of inequality (SII) and relative index of inequality (RII) were calculated to evaluate the inequalities in HRQoL. RESULTS: Among the 3396 cancer survivors, a considerable proportion reported pain/discomfort (29.6%) and mobility problems (21.1%). The logistic regression results demonstrated a higher likelihood of experiencing problems in all five EQ-5D items among individuals with lower income or education levels. Specifically, compared to the high-income group, the adjusted ORs for mobility problems were 2.19, 1.64, and 1.08 for the low, low-medium, and medium-high-income groups, respectively (p-value < 0.05). Notably, significant income inequalities in HRQoL problems were observed, with the greatest disparities seen in self-care and usual activity problems, as indicated by the SII and RII values. CONCLUSION: Socioeconomic disparities in HRQoL exist among cancer survivors in Korea, particularly related to income levels. Addressing the financial burdens of cancer treatment for individuals with low-income levels may help improve their HRQoL and mitigate these inequalities.

Comorbidity and household income as mediators of gender inequalities in dementia risk: a real-world data population study.

BACKGROUND: Low household income (HI), comorbidities and female sex are associated with an increased risk of dementia. The aim of this study was to measure the mediating effect of comorbidity and HI on the excess risk due to gender in relation to the incidence and prevalence of dementia in the general population. METHODS: A retrospective and observational study using real-world data analysed all people over 60 who were registered with the Basque Health Service in Gipuzkoa. The study measured HI level, the Charlson comorbidity index (CCI), age and sex. The prevalence and incidence of dementia were analysed using logistic regression and Poisson regression models, respectively, adjusted by HI, sex, comorbidity and age. We estimated the combined mediation effect of HI and comorbidity on the prevalence of dementia associated with gender. RESULTS: Of the 221,777 individuals, 3.85% (8,549) had a diagnosis of dementia as of 31 December 2021. Classification by the CCI showed a gradient with 2.90% in CCI 0-1, 10.60% in CCI 2-3 and 18.01% in CCI > 3. Both low HI and gender were associated with a higher crude prevalence of dementia. However, in the CCI-adjusted model, women had an increased risk of dementia, while HI was no longer statistically significant. The incidence analysis produced similar results, although HI was not significant in any model. The CCI was significantly higher for men and for people with low HI. The mediation was statistically significant, and the CCI and HI explained 79% of the gender effect. CONCLUSIONS: Comorbidity and low HI act as mediators in the increased risk of dementia associated with female sex. Given the difference in the prevalence of comorbidities by HI, individual interventions to control comorbidities could not only prevent dementia but also reduce inequalities, as the risk is greater in the most disadvantaged population.

Variations in healthcare utilization for mental health problems prior to suicide by socioeconomic status: a Norwegian register-based population study.

BACKGROUND: Suicide poses a major public health challenge, claiming around 650 lives annually in Norway. There is limited understanding of mental healthcare utilization patterns preceding suicide, particularly relating to socioeconomic status (SES). This study analyzes mental health service use among Norwegian citizens aged 20-64 from 2009 to 2021, emphasizing disparities related to SES. METHODS: This is a population-wide registry-based study. We include mental health consultations with both primary and specialist healthcare services, and investigate patterns of service use regarding educational attainment, employment status and income and compare this to the population in general. All suicides in the period (N = 4731) are included in the study. The aim is to investigate potential discrepancies in service use the year and month preceding suicide, seeking to enhance targeted preventive interventions. RESULTS: Our results show significant variations in healthcare use for mental health problems the last year preceding suicide, according to the components of SES, for both men and women. Those with higher education utilize the mental healthcare services prior to suicide to a higher degree than men and women with high school education or less, whereas employed men and men with high income level have significantly lower mental healthcare usage prior to suicide both the last year and month compared to the non-employed men and men with low-income level. Employed women also had a lower mental healthcare usage, whereas the results regarding income are not significant for women. CONCLUSION: Mental healthcare use prior to suicide varies across the SES components. Notably, the SES groups exhibit heterogeneity, with gendered patterns. Targeted interventions for low consultation rates among employed men, and men with high income and lower education are needed, while women, and men in at-risk groups, such as the non-employed and those with low income, demonstrate higher mental healthcare utilization, warranting comprehensive suicide prevention measures.

The substitution effect of financial and non-financial incentives at different income levels in physician recruitment: evidence from medical students in China.

BACKGROUND: Understanding how medical students respond to financial and non-financial incentives is crucial for recruiting health workers and attracting health talents in medical education. However, both incentives are integrated in working practice, and existing theoretical studies have suggested that various income levels may influence the substitution effect of both incentives, while the empirical evidence is lacking. Furthermore, little attention has been paid to the intrinsic motivation. This study aimed to explore the substitution effect of extrinsic incentives at different income levels, also taking intrinsic altruism into account. METHODS: We used the behavioral data from Zhang et al.'s experiments, which involved discrete choice experiments (DCEs) to assess the job preferences of medical students from six teaching hospitals in Beijing, China. The incentive factors included monthly income, work location, work environment, training and career development opportunities, work load, and professional recognition. Additionally, a lab-like experiment in the medical decision-making context was conducted to quantify altruism based on utility function. Furthermore, we separated the choice sets based on the actual income and distinguished the medical students on altruism. The willingness to pay (WTP) was used to estimate the substitution effect of incentives through conditional logit model. RESULTS: There was a significant substitution effect between non-financial and financial incentives. As income increased, non-financial incentives such as an excellent work environment, and sufficient career development became relatively more important. The impact of the increase in income on the substitution effect was more pronounced among individuals with higher altruism. Concerning the non-financial incentive work environment, in contrast to the growth of 546 CNY (84 USD) observed in the low-altruism group, the high-altruism group experienced a growth of 1040 CNY (160 USD) in the substitution effect. CONCLUSIONS: The increase in the income level exerted an influence on the substitution effect of non-financial incentives and financial incentives, especially in high-altruism medical students. Policymakers should attach importance to a favorable environment and promising career prospects on the basis of ensuring a higher income level. Medical school administrations should focus on promoting altruistic values in medical education, enhancing talent incentives and teaching strategies to encourage medical students to devote themselves to the medical professions.

The global burden of schizophrenia and the impact of urbanization during 1990-2019: An analysis of the global burden of disease study 2019.

BACKGROUND AND HYPOTHESIS: The burden of schizophrenia is increasing. Assessing the global distribution of schizophrenia and understanding the association between urbanization factors and schizophrenia are crucial. STUDY DESIGN: We conducted a two-stage analysis utilizing public data from GBD (global burden of disease) 2019 and the World Bank. First, the distribution of schizophrenia burden at the global, regional, and national levels as well as temporal trends was analyzed. Then, four composite indicators of urbanization (including demographic, spatial, economic, and eco-environment urbanization) were constructed from ten basic indicators. Panel data models were used to explore the relationship between urbanization indicators and the burden of schizophrenia. RESULTS: In 2019, there were 23.6 million people with schizophrenia, an increase of 65.85% from 1990, and the country with the largest ASDR (age-standardized disability adjusted life years rate) was the United States of America, followed by Australia, and New Zealand. Globally, the ASDR of schizophrenia rose with the sociodemographic index (SDI). In addition, six basic urbanization indicators including urban population proportion, employment in industry/services proportion, urban population density, the population proportion in the largest city, GDP, and PM2.5 concentration were positively associated with ASDR of schizophrenia, with the largest coefficients being urban population density. Overall, demographic, spatial, economic, and eco-environment urbanization all had positive effects on schizophrenia, and the estimated coefficients indicated that demographic urbanization was the most significant influence. CONCLUSIONS: This study provided a comprehensive description of the global burden of schizophrenia and explored urbanization as a factor contributing to the variation in the burden of schizophrenia, and highlighted policy priorities for schizophrenia prevention in the context of urbanization.

Quality of life among the Arab population two years after COVID-19 pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has resulted in severe consequences worldwide. Our study aims to assess the quality of life (QoL) domains and its determinants among the general population in Arab countries after two years of the COVID-19 pandemic. METHODS: An anonymous online cross-sectional survey using the short version of World Health Organization QoL (WHOQOL-BREF) instrument was distributed among Arab adults in 15 Arab Countries. RESULTS: A total of 2008 individuals completed the survey. Amongst them, 63.2% were 18-40 years and 63.2% were females, 26.4% had chronic disease, 39.7% confirmed having contracted COVID-19, and 31.5% had experienced the unfortunate loss of relatives due to COVID-19. The survey revealed that 42.7% reported good physical QoL, 28.6% were satisfied with psychological QoL, 32.9% had a sense of well-being in the social domain, and 14.3% had good QoL in the environmental domain. The predictors of physical domains were as follows: being a male (ß = 4.23 [95%CI 2.71, 5.82]), being from low-middle income country (ß = -3.79 [95%CI -5.92, -1.73]) or being from high-middle-income country (ß = -2.95 [95%CI -4.93, -0.92]), having a a chronic disease (ß = -9.02 [95%CI -10.62,-7.44]) having a primary/secondary education (ß = -2.38 [95%CI -4.41, -0.054]), number of years of work experience ≥ 15 years (ß = 3.25 [95%CI 0.83, 5.73]), income-per-capita [ranged from (ß = 4.16 [95%CI -5.91, -2.40]) to (ß = -11.10 [95CI%, -14.22, -8.11])], a previous COVID-19 infection (ß = -2.98 [95%CI -4.41, -1.60]), and having relative died from COVID-19 (ß = -1.56 [95%CI -3.01, -0.12]). The predictors of psychological domain were having a chronic disease (ß = -3.15 [95%CI -4.52, -1.82]), a postgraduate education (ß = 2.57 [95% CI 0.41, 4.82]), number of years of work experience ≥ 15 years (ß = 3.19 [95%CI 1.14, 5.33]), income-per-capita [ranged from (ß = -3.52 [95%CI -4.91, -1.92]) to (ß = -10.31 [95%CI -13.22, -7.44])], and a previous COVID-19 infection (ß = -1.65 [95%CI -2.83, -0.41]). The predictors of social domain were being a male (ß = 2.78 [95%CI 0.93, 4.73]),  being single, (ß =-26.21 [-28.21, -24.32]), being from a low-income country (ß = 5.85 [95%CI 2.62, 9.13]), or from a high-middle-income country (ß = -3.57 [95%CI -6.10, -2.12]), having a chronic disease (ß = -4.11 [95%CI -6.13, -1.11]), and income-per-capita [ranged from (ß = -3.62 [95%CI -5.80, -1.41]) to (ß = -11.17 [95%CI -15.41, -6.92])]. The predictors of environmental domain were being from a low-middle-income country (ß = -4.14 [95%CI -6.90, -1.31), from a high-middle-income country (ß = -12.46 [95%CI -14.61, -10.30]), or from a low-income-country (ß = -4.14 [95%CI, -6.90, -1.32]), having a chronic disease (ß = -3.66 [95%CI -5.30, -1.91]), having a primary/secondary education (ß = -3.43 [95%CI -5.71, -1.13]), being not working (ß = -2.88 [95%CI -5.61, -0.22]), income-per-capita [ranged from (ß = -9.11 [95%CI -11.03, -7.21] to (ß = -27.39 [95%CI -31.00, -23.84])], a previous COVID-19 infection (ß = -1.67 [95%CI -3.22, -0.21]), and having a relative who died from COVID-19 (ß = -1.60 [95%CI -3.12, -0.06]. CONCLUSION: The study highlights the need for public health interventions to support the general population in the Arab countries and mitigate its impact on their QoL.

Food choice drivers at varying income levels in an emerging economy.

The purpose of this work was to explore and compare food choice drivers of low (LI), middle (MI) and high (HI) income urban people in an emerging economy (South Africa). Here, 13 focus group (FG) discussions [six LI, n = 36, 67% women; four MI, n = 22, 100% women and three HI, n = 17, 76% women; total n = 75) were transcribed, coded inductively and deductively and 17 food choice categories emerged. Eight of these, i.e., aspects related to: plant vs animal protein, food waste, food preparation, availability of resources, food exploration, social aspects and food spoilage, are not typically (e.g., sensory appeal, mood, health, convenience etc.) measured with established food choice questionnaires. Economic factors and Availability of food and resources were mentioned the most by LI participants compared to MI and HI. Whereas, Health; Familiarity and Food exploration were mostly mentioned by MI and HI participants. This study yielded a mixture of individual and environment based motives which add to our understanding of the "why" aspects underlying food choice in an urban and emerging economy. The fact that these aspects are compared by income group provides interesting information on the similarities and differences of how the food choice process unfolds across varying income groups. The insights from this study are useful for the development of an updated, quantitative food choice questionnaire for application in this and other emerging economies.

A global perspective on the governance-health nexus.

BACKGROUND: This study raises two key arguments: First, government health expenditure (GHE) and per capita out-of-pocket expenditures on healthcare (OPEH) are sensitive to contemporary good governance practices, giving policy importance to the exogeneity of healthcare determinants, i.e., governance for health rather than health governance. Second, it is the income level of countries that reflects the volatility of the governance spillovers on the subject. METHODS: The present study constructs a composite governance index (CGI) and employs a set of panel data for 144 countries over the period from 2002 to 2020. To allow comparability and extract specific policy implications, the countries are classified as full, high-, middle-, and low-income panels. Meanwhile to delve into the short- and long-run effects of CGI on GHE and OPEH, the study employs the cross-sectionally augmented autoregressive distributed lags (CS-ARDL) model. Further, to establish a causal link between the variables, it uses the Dumitrescu-Hurlin panel causality technique. RESULTS: The results indicate that CGI is significantly cointegrated with GHE and OPEH in all recipient panels. It indicates that while CGI has significantly positive impacts on GHE and OPEH, its effects vary according to the income level of the underlying economies. The findings support the idea of governance for health and show that CGI drives the stabilization and enhancement of GHE and OPEH in the long run. Furthermore, the findings reveal that economic growth, the age dependency ratio, and tax revenue have positive effects, while the crude death rate and the child mortality rate exert negative impacts on the subject. Finally, the results highlight a unidirectional causality running from CGI to GHE and OPEH, while no feedback response is evident. CONCLUSIONS: Although an increase in GHE and OPEH is associated with the improvement of the population's healthcare, the results suggest the recognition of the importance and institutionalization of good governance to streamline this improvement through effective channelization, outreach, and social environment development for extensive health inclusion.

Suicide as globalisation's Black Swan: global evidence.

OBJECTIVES: This empirical study investigated the relationship between globalisation and suicide rates. We examined whether there is a beneficial or harmful relationship between economic, political and social globalisation and the suicide rate. We also estimated whether this relationship differs in high-, middle- and low-income countries. STUDY DESIGN: Using panel data from 190 countries over the period 1990-2019, we examined the relationship between globalisation and suicide. METHOD: We compared the estimated effect of globalisation on suicide rates using robust fixed-effects models. Our results were robust to dynamic models and models with country-specific time trends. RESULTS: The effect of the KOF Globalisation Index on suicide was initially positive, leading to an increase in the suicide rate before decreasing. Concerning the effects of economic, political, and social dimensions of globalisation, we found a similar inverted U-shaped relationship. Unlike the middle-income and high-income countries, we found a U-shaped relationship for the case of low-income countries, indicating that suicide decreased with globalisation and then increased as globalisation continues to increase. Moreover, the effect of political globalisation disappeared in low-income countries. CONCLUSION: Policy-makers in high- and middle-income countries, below the turning points, and low-income countries, above the turning points, must protect vulnerable groups from globalisation's disruptive forces, which can increase social inequality. Consideration of local and global factors of suicide will potentially stimulate the development of measures that might reduce the suicide rate.

A systematic review of individual and ecological determinants of maternal mortality in the world based on the income level of countries.

BACKGROUND: This systematic review was conducted to map the literature on all the existing evidence regarding individual and ecological determinants of maternal mortality in the world and to classify them based on the income level of countries. Such a systematic review had not been conducted before. METHODS: We conducted an electronic search for primary and review articles using "Maternal Mortality" and "Determinant" as keywords or MeSH terms in their Title or Abstract, indexed in Scopus, PubMed, and Google with no time or geographical limitation and also hand searching was performed for most relevant journals. STROBE and Glasgow university critical appraisal checklists were used for quality assessment of the included studies. Data of the determinants were extracted and classified into individual or ecological categories based on income level of the countries according to World Bank classification. RESULTS: In this review, 109 original studies and 12 review articles from 33 countries or at global level met the inclusion criteria. Most studies were published after 2013. Most literature studied determinants of low and lower-middle-income countries. The most important individual determinants in low and lower-middle-income countries were location of birth, maternal education, any delays in health services seeking, prenatal care and skilled birth attendance. Household-related determinants in low-income countries included improved water source and sanitation system, region of residence, house condition, wealth of household, and husband education. Additionally, ecological determinants including human resources, access to medical equipment and facilities, total fertility rate, health financing system, country income, poverty rate, governance, education, employment, social protection, gender inequality, and human development index were found to be important contributors in maternal mortality. A few factors were more important in higher-income countries than lower-income countries including parity, IVF births, older mothers, and type of delivery. CONCLUSION: A comprehensive list of factors associated with maternal death was gathered through this systematic review, most of which were related to lower-income countries. It seems that the income level of the countries makes a significant difference in determinants of maternal mortality in the world.

Influence of emotion on purchase intention of electric vehicles: a comparative study of consumers with different income levels.

Promoting electric vehicles (EVs) adoption has become one of the important paths for countries around the world to address climate change and accelerate the transformation of energy system for achieving sustainable development. As one of the important psychological factors, the research on the explanatory power of emotions to EVs purchase intention is still insufficient. This paper collected 400 valid questionnaires all around China. By incorporating emotions and moral norms into the Theory of Planned Behavior (TPB) model, this study used structural equation model to estimate the impact of positive anticipated emotion (PAE), negative anticipated emotion (NAE), and moral norms together with TPB elements on EVs purchase intention. In order to explore the heterogeneity effect of the above factors on EVs purchase intention among consumers of different income groups, we divided the total sample into high-income subsample and low-income subsample according to the household monthly disposable income. We concluded as follows: for the total sample, PAE has the greatest impact on EVs purchase intention, followed by attitude, NAE, and perceived behavioral control (PBC). In particular, the purchase intention of high-income consumers mainly depends on NAE, while the purchase intention of low-income consumers mainly depends on PAE. Additionally, PBC has more significant impact on EVs purchase intention of high-income group. Finally, targeted policy implications are proposed to promote EVs purchase.

Transitioning Economic Statuses of Appalachian Counties during COVID-19.

In the past decade, the Appalachian economy in the United States was scarcely discussed in the literature. No studies were devoted to local economic development after the outbreak of the Coronavirus Disease in 2019. This paper fills the literature gap by empirically examining how the Appalachian economy transitioned under the influence of the pandemic. Using county-level data from the Appalachian Regional Commission between 2019 and 2022, the study investigates how the Appalachian economy regressed during the pandemic. Transitioning economy indices were calculated for 420 local counties by comparing their composite index values before and after the outbreak of the pandemic. Regressions were run to estimate the influences of the unemployment rate, per capita income, and the poverty rate. During the pandemic, the unemployment rate consistently had the largest impact on the Appalachian counties' composite index value and the least effect on the poverty rate. The results suggest that the most effective strategy is for the government to reduce the local unemployment rate to improve the economic ranking. Supplementary Information: The online version contains supplementary material available at 10.1007/s11293-022-09749-2.

Instant Gratification Behavior Among Gambling Individuals in Uganda.

Gambling has had mixed reactions over the years as a positive economic activity and as a negative action that leads to addiction. The purpose of the study is to examine whether the level of income and nature of employment explain the actual instant gratification behavior among bettors in Uganda. This study adopted a cross-sectional quantitative research design. Data was collected from 257 bettors in 26 betting firms, and a census survey was found appropriate to achieve a response rate of 98%. The research findings indicate that low-income earners are more likely to engage in sports betting. Secondly, individuals with jobs where they have too much free time and inadequate supervision are most likely to participate in sports betting. We, therefore, recommend that both private and public organizations should be concerned about the impact of sports betting on their performance and employees. Most entities don't have gambling policies, and sports betting has a negative impact, for example, in terms of labor productivity and well-being of the employees; hence organizations need to develop clear anti-gambling policies at the workplace. Our study finds that the youth are the most gambling group in the country; specific gambling pieces of training and support services should be developed and organized for the child to increase the awareness of the impact of sports betting on their lives. Finally, there is a need to improve on the saving culture of Ugandans in addition to the revision of the minimum wage level for the workers in the country, and also introducing a weekly payment system would help to manage the betting behavior. In this study, Betting firms from one of the divisions Kampala Central Business District were studied, i.e., Nakawa. Yet, it would be better to cover all the divisions of Kampala; hence future studies should focus on all the divisions and may even study all the betting firms in the entire country. A self-administered questionnaire with close-ended questions was used to collect data from the field. However, this might have limited the amount of information collected from the respondents. Therefore, future studies should employ other methods, such as an interview guide.

The effects of trade openness on decoupling carbon emissions from economic growth - Evidence from 182 countries.

The current rise of protectionism has become the main uncertainty associated with global energy, economy, and the environment. Furthermore, the decoupling carbon emissions from economic growth is crucial for implementing Intended Nationally Determined Contributions (INDCs). These INDCs would be discounted if decreasing carbon emissions would require sacrificing economic growth. This study explored the effect of protectionism (by measuring trade openness based on available data) on the decoupling carbon emissions from economic growth. For this, the heterogenous effects of trade openness on carbon emissions were investigated using in data of 182 countries from 1990 to 2015. The results show that trade openness decreased carbon emissions in high-income and upper-middle-income countries, while having no significant impact on carbon emissions of lower-middle-income countries; even worse, for low-income countries, trade openness increased carbon emissions. The heterogeneous effects of trade openness on carbon emissions indicate that trade openness positively impacts the decoupling economic growth from carbon emission in rich countries, but negatively impacts poor countries. In addition, increasing individual incomes and population distort the decoupling economic growth from carbon emissions. Renewable energy and high oil prices contributed to the decoupling economic growth from carbon emissions. These effects are similar in all countries. Targeted policy implications are presented that enable the decoupling economic growth from carbon emissions for countries with different income levels.

Implementing a sustainable health insurance system in Cambodia: a study protocol for developing and validating an efficient household income-level assessment model for equitable premium collection.

BACKGROUND: As elsewhere in low- and middle-income countries, due to limited fiscal resources, universal health coverage (UHC) remains a challenge in Cambodia. Since 2016, the National Social Security Fund (NSSF) has implemented a social health insurance scheme with a contributory approach for formal sector workers. However, informal sector workers and dependents of formal sector workers are still not covered by this insurance because it is difficult to set an optimal amount of contribution for such individuals as their income levels are inestimable. The present study aims to develop and validate an efficient household income-level assessment model for Cambodia. We aim to help the country implement a financially sustainable social health insurance system in which the insured can pay contributions according to their ability. METHODS: This study will use nationally representative data collected by the Cambodia Socio-Economic Survey (CSES), covering the period from 2009 to 2019, and involving a total of 50,016 households. We will employ elastic net regression analysis, with per capita disposable income based on purchasing power parity as the dependent variable, and individual and community-level socioeconomic and demographic characteristics as independent variables. These analyses aim to create efficient income-level assessment models for health insurance contribution estimation. To fully capture socioeconomic heterogeneity, sub-group analyses will be conducted to develop separate income-level assessment models for urban and rural areas, as well as for each province. DISCUSSION: This research will help Cambodia implement a sustainable social health insurance system by collecting optimal amount of contributions from each socioeconomic group of the society. Incorporation of this approach into existing NSSF schemes will enhance the country's current efforts to prevent impoverishing health expenditure and to achieve UHC.

The impact of heat waves on daily mortality in districts in Madrid: The effect of sociodemographic factors.

Although there is significant scientific evidence on the impact of heat waves, there are few studies that analyze the effects of sociodemographic factors on the impact of heat waves below the municipal level. The objective of this study was to analyze the role of income level, percent of the population over age 65, existence of air conditioning units and hectares (Ha) of green zones in districts in Madrid, in the impact of heat on daily mortality between January 1, 2010 and December 31, 2013. Seventeen districts were analyzed, and Generalized Linear (GLM) Poisson Regression Models were used to calculate relative risks (RR) and attributable risks (RA) for the impact of heat waves on mortality due to natural causes (CIEX:A00-R99). The pattern of risks obtained was analyzed using GLM univariates and multivariates of the binomial family (link logit), introducing the socioeconomic and demographic variables mentioned above. The results indicate that heat wave had an impact in only three of the districts analyzed. In the univariate models, all of the variables were statistically significant, but Ha of green zones lost significance in the multivariate model. Income level, existence of air conditioning units, and percent of the population over age 65 in the district remained as variables that modulate the impact of heat wave on daily mortality in the municipality of Madrid. Income level was the key variable that explained this behavior. The results obtained in this study show that there are factors at levels below the municipal level (district level) that should be considered as focus areas for health policy in order to decrease the impact of heat and promote the process of adaptation to heat in the context of climate change.

Education and Income Levels are Associated With Energy and Micronutrient Intake.

Introduction: According to the literature, education and income are determinants factors of diet quality and consequently of micronutrient intake. However, this association is still little known among adults who live in middle-income countries. Objective: To estimate energy and micronutrients intake by men and women living in a capital city in southern Brazil, according to education and income levels, and to identify prevalence of inadequate micronutrient intake according also to education and income levels. Method: This is a second wave cross-sectional analysis of a population-based longitudinal study, the EpiFloripa Adultos, including 1,222 individuals of 22-63 years. Data on food consumption were obtained through applying two 24-hour dietary recalls, and the prevalence of inadequate micronutrient intake, following the recommendations of the Institute of Medicine and from the National Research Council. Results: A tendency of increased intake with an increase in income (calcium, vitamins C, E) and education levels (calcium, vitamins A, C, D) was observed for most of the micronutrients analyzed (p<0.05 in all cases); still, a prevalence of inadequacy according to Estimated Average Requirement (EAR) between 85.5-100% in intake of vitamins A, D and E were found for the whole sample. Iron inadequate intake was associated with education level and among women less than 50 years of age (p=0.018). Conclusion: The results showed an influence of the education and income levels on micronutrient intake, point to the need of daily food consumption, of minimally processed and in natura foods (as fruits, vegetables, whole grains, milk and its derivatives) as a means to reduce the encountered inadequacies.

Can labor transfer reduce poverty? Evidence from a rural area in China.

The aim of this paper is to examine how labor transfer can alleviate poverty caused by regional inequality. Based on a survey dataset of poor farmers in traditionally poverty-stricken areas in the Jiangxi province of China, we concluded that labor transfer and improvement in health can positively affect poverty reduction. Particularly, the labor transfer distance has a significant and positive effect on poor households in the middle- and low-income levels. In contrast, families occupying the middle and upper strata in society are forced to improve their wealth level in response to a potential drop in health levels through accumulating wealth. Additionally, we found that poor households with health obstacles had to traverse a longer distance to improve their income levels.

How does soil pollution risk perception affect farmers' pro-environmental behavior? The role of income level.

Soil pollution is a serious environmental issue in China. As a key subject of agricultural practices, promoting Chinese farmers' Pro-Environmental Behavior (PEB) through increasing their soil pollution risk perception is an important means for soil protection, agricultural transformation and ecological development. In this study, we distinguish four dimensions of soil pollution risk perception: fact perception (FP), loss perception (LP), cause perception (CP) and response behavior ability perception (RBAP). We conceptualize a model that depicts the relationships between the four dimensions of Chinese farmers' soil pollution risk perception and their PEB and the moderating effect of farms' household income level on these relationships. Using a questionnaire survey to collect empirical data, we find: first, the four dimensions of Chinese farmers' soil pollution risk perception have positive effects on their PEB; second, Chinese farmers' household income level positively moderates the relationships between their FP, LP and CP and their PEB but its moderating effect on the relationship between their RBAP and their PEB is not significant. Relevant theory and policy implications for environmental management are discussed in the paper.

Per-Prescription Drug Expenditure by Source of Payment and Income Level in the United States, 1997 to 2015.

OBJECTIVES: To evaluate expenditures and sources of payment for prescription drugs in the United States from 1997 to 2015. METHODS: The Medical Expenditures Panel Survey (MEPS) was used for this analysis. Individuals with one or more prescription medicines were eligible for inclusion. Outcomes were the inflation-adjusted cost per prescription across all payment sources (self or family, public, private, and other sources) before and after the Medicare Part D benefit and the Affordable Care Act. RESULTS: The cost per prescription increased from $38.56 in 1997 to $73.34 in 2015. Nevertheless, consumers' out-of-pocket expenditures decreased from $18.19 to $9.61, whereas public program expenditures per prescription increased from $5.61 to $34.43 over this time. Out-of-pocket expenditures of individuals in the low-income group and near-poor group had larger declined percentages from 51.4% to 20.4% and 46.5% to 17.2% relative to individuals in higher-income groups before and after implementation of the Medicare Part D, respectively. Over 90% prescription purchases were covered by medical insurance by 2015. The per-prescription cost for medications consumed by uninsured individuals increased at a lower rate from $31.83 to $54.96 versus $40.12 to $75.58 for privately insured and $36.00 to $70.96 for publicly insured (P < .001). CONCLUSIONS: Prescription drugs expenditures have increased over the past 2 decades, but public sources now pay for a growing proportion of prescription drugs cost regardless of health insurance coverage or income level. Out-of-pocket expenditures have significantly decreased for persons with lower incomes since the implementation of Medicare Part D and the Affordable Care Act.