Understanding determinants of socioeconomic inequality in mental health in Iran's capital, Tehran: a concentration index decomposition approach

To appreciate the influence of contributed determinants on dental care utilization in the context of socio-economic inequalities

BACKGROUND

To appreciate dental care utilization in ‌the context of socio-economic inequalities, it is imperative to identify sources of inequalities and evaluate the extent to which dental care utilization is still related to socio-economic status. This study aimed to quantify the influence of contributed determinants on dental care utilization in the context of socio-economic inequalities amongst adults residing in Tehran metropolis.

METHODS

In this cross-sectional community-based study, a stratified random sample of 1,510 subjects aged over 18 years was investigated by the zero-inflated Poisson analysis to measure the effect of determinants on utilization of dental care, and concentration index as well as the decomposition approach to identify the contributions of deterministic variables to the socio-economic inequality. Data was obtained by employing a phone interview survey. Individuals who were not willing or able to answer the questions in the telephone interview due to hearing or neurological problems did not participate in the interview. Dental care utilization was measured using the number of dental appointments.

RESULTS

Gender (male), oral health-related behaviors (such as brushing and dental flossing), experience of toothache, and concern about dental appearance were associated with an increased likelihood of utilizing dental care. Individuals who belonged to advanced age groups and lived alone significantly underutilized dental care. The concentration index equaling 0.05 (SE = 0.05) corroborates a pro-rich inequality. Decomposition analysis demonstrated the impact of oral health-related behaviors (i.e. dental brushing and use of dental flossing), concern about dental appearance, toothache, gender (male), insurance coverage of dental care, and smoking habit on the poor-rich gap in the dental care utilization.

CONCLUSIONS

The influence of socio-economic inequalities on dental care utilization is discernable along the entire spectrum of socio-economic status. Individuals with lower socio-economic status experience more underutilization of dental care. Community subgroups, particularly the more deprived bracket, require consideration from key stakeholders, including policymakers and health professionals for the enhancement of dental care utilization as revealed by underlying determinants.

The Hidden Toll of Psychological Distress in Australian Adults and Its Impact on Health-Related Quality of Life Measured as Health State Utilities

BACKGROUND

Psychological distress (PD) is a major health problem that affects all aspects of health-related quality of life including physical, mental and social health, leading to a substantial human and economic burden. Studies have revealed a concerning rise in the prevalence of PD and various mental health conditions among Australians, particularly in female individuals. There is a scarcity of studies that estimate health state utilities (HSUs), which reflect the overall health-related quality of life in individuals with PD. No such studies have been conducted in Australia thus far.

OBJECTIVE

We aimed to evaluate the age-specific, sex-specific and PD category-specific HSUs (disutilities) in Australian adults with PD to inform healthcare decision making in the management of PD.

METHODS

Data on age, sex, SF-36/SF6D responses, Kessler psychological distress (K10) scale scores and other characteristics of N = 15,139 participants (n = 8149 female individuals) aged >15 years were derived from the latest wave (21) of the nationally representative Household, Income and Labor Dynamics in Australia survey. Participants were grouped into the severity categories of no (K10 score: 10-19), mild (K10: 20-24), moderate (K10: 25-29) and severe PD (K10: 30-50). Both crude and adjusted HSUs were calculated from participants' SF-36 profiles, considering potential confounders such as smoking, marital status, remoteness, education and income levels. The calculations were based on the SF-6D algorithm and aligned with Australian population norms. Additionally, the HSUs were stratified by age, sex and PD categories. Disutilities of PD, representing the mean difference between HSUs of people with PD and those without, were also calculated for each group.

RESULTS

The average age of individuals was 46.130 years (46% male), and 31% experienced PD in the last 4 weeks. Overall, individuals with PD had significantly lower mean HSUs than those likely to be no PD, 0.637 (95% confidence interval [CI] 0.636, 0.640) vs 0.776 (95% CI 0.775, 0.777) i.e. disutility: -0.139 [95% CI -0.139, -0.138]). Mean disutilities of -0.108 (95% CI -0.110, -0.104), -0.140 (95% CI -0.142, -0.138), and -0.188 (95% CI -0.190, -0.187) were observed for mild PD, moderate PD and severe PD, respectively. Disutilities of PD also differed by age and sex groups. For instance, female individuals had up to 0.049 points lower mean HSUs than male individuals across the three classifications of PD. There was a clear decline in health-related quality of life with increasing age, demonstrated by lower mean HSUs in older population age groups, that ranged from 0.818 (95% CI 0.817, 0.818) for the 15-24 years age group with no PD to 0.496 (95% CI 0.491, 0.500) for the 65+ years age group with severe PD). Across all ages and genders, respondents were more likely to report issues in certain dimensions, notably vitality, and these responses did not uniformly align with ageing.

CONCLUSIONS

The burden of PD in Australia is substantial, with a significant impact on female individuals and older individuals. Implementing age-specific and sex-specific healthcare interventions to address PD among Australian adults may greatly alleviate this burden. The PD state-specific HSUs calculated in our study can serve as valuable inputs for future health economic evaluations of PD in Australia and similar populations.

Physical exercise and mental health among older adults: the mediating role of social competence

Background

Healthy aging is crucial to the quality of life of older adults, of which mental health is an essential part. Physical exercise strongly affects their mental health and can alleviate psychological problems to a certain extent. Nevertheless, the correlation between physical exercise and the mental health of older adults individuals, as well as the underlying mechanism by which physical exercise impacts mental health, remains rather ambiguous.

Methods

We utilized multiple linear regression models to investigate the relationship between physical activity and mental health in 3,240 persons aged 60 and up. The propensity score matching (PSM) method was used to assess the robustness of the regression results. In addition, sequential recursive models were employed to investigate the mediating role of social competence in the link between physical activity and mental health.

Results and discussion

We discovered a strong favorable association between physical exercise and mental health, which was mediated by social competence. Furthermore, the effect of physical exercise on mental health differed across older persons from various socioeconomic backgrounds.

Conclusion

Older adults should strengthen their understanding of the role of physical exercise. Sports organizations that serve older adults by providing resources and services to help them maintain physical fitness and by hosting sports activities and competitions according to their needs should be established.

Information and Communication Technology Adoption Strategies Among Iranian Older Adults: A Qualitative Evaluation

In today's world, it is unavoidable for older adults to use technology, which causes some challenges for them. In this qualitative study, we used grounded theory to evaluate information and communication technology (ICT) adoption strategies among Iranian older adults. The participants included 18 older adults, five experts, and five family members of older adults. The data collection method included conducting semi-structured interviews, taking field notes, and observation. The data were analyzed using the Corbin and Strauss approach. Three main themes were extracted as follows: support from others, effort for learning, and smart choice. The subthemes of support from others included creativity in educating older adults; having access to an educational supporter; and receiving informational, emotional, and financial support. The subthemes of effort for learning included utilizing aids, adaptive measures, shortcut techniques, and self-learning. The subthemes of smart choice included physical characteristics, technical features, price sensitivity, and availability of an active sales representative. Accordingly, it is essential to teach older adults to increase their ICT adoption rate and continued use of technology. In this respect, developing a standard ICT manual for older adults can be beneficial.

Decomposition of Healthcare Utilization Inequality in Iran: The Prominent Role of Health Literacy and Neighborhood Characteristics

Unequal utilization in healthcare can potentially affect the right to health. Access to healthcare services and achieving positive health outcomes and health equity are essential principles in promoting human rights. This study aims to assess and analyze socioeconomic-related inequalities in outpatient health services utilization (OHSU) among various socio-demographic subgroups to inform policies that foster health equity. Data were collected through a cross-sectional survey of 1200 households in Tehran, Iran. Inequality in OHSU among the socio-demographic subgroups was calculated by concentration, Wagstaff, and Erigers indices. Decomposition was used to identify the factors contributing to inequality in OHSU. Marginal effect and elasticity were used to calculate the relative absolute shares of socio-demographic variables in the inequality. The rate of OHSU was 63.61% (CI: 60-66.80) which concentrated among households with better socioeconomic status. Based on the results, living in an affluent neighborhood (Relative share (RS): 85.48) and having a disabled member in the household (RS: 6.58) were the most important factors in the concentration of OHSU in favor of the privileged groups. In contrast, very low levels of health knowledge (RS: -83.79) and having basic insurance coverage (RS: -3.92) concentrated OHSU in favor of the lower socioeconomic households. The study was conducted based on survey data, and this may lead to some limitations. Given that this study was a cross-sectional study, we were unable to establish causal relationships between explanatory variables and outpatient health service utilization and its relevant predictors. Households with disabled member(s), as well as a member(s) with chronic diseases, may experience severe inequalities in access to healthcare services. Policies that facilitate access to health services for these households can play a significant role in improving health equity.

Contrasting socioeconomic inequality with noncommunicable diseases: Insights from a population-based survey using the concentration index in Kong cohort study

Background

Noncommunicable diseases (NCDs) are the major causes of mortality across the globe, which impose a substantial burden on health care systems, particularly in low- and middle-income countries. The present study aimed to determine socioeconomic inequality in the prevalence of NCDs using the concentration index (CI).

Methods

This cross-sectional study was conducted on the baseline data of the Bandar Kong cohort. The principal component analysis was used to determine people's socioeconomic status (SES). The CI and Lorenz Curve were used for the assessment of socioeconomic inequality. Multivariate logistic regression was used to assess the relationship between SES and the prevalence of NCDs. A p Value less than 0.05 is considered significant.

Results

Frequency and prevalence of diabetes was 653 (16.22%), hypertension 848 (21.06%), chronic lung diseases 161 (4%), epilepsy 70 (1.74%), mental disorders 191 (4.74%), stillbirth 299 (13.94%), thyroid disorders 391 (9.71%) and depression 146 (3.63%). CI for the prevalence of diabetes was [-0.107, %95 CI: -0.146 to -0.068], hypertension [-0.122, %95 CI: -0.155 to -0.088], chronic lung disease [-0.116, %95 CI: -0.202 to -0.03], psychiatric disorders [-0.230, %95 CI: -0.304 to -0.155], depression [-0.132, %95 CI: -0.220 to-0.043] and stillbirth [-0.162, %95 CI: -0.220 to -0.105]. The Gini index was negative for all these diseases, indicating that these are significantly concentrated in people of poor SES.

Conclusions

The findings suggest that selected NCDs were concentrated among the poor and the low-income. Particular attention may be necessary to address the problem of NCDs among these groups.

Identifying Social Determinants and Measuring Socioeconomic Inequalities in the Use of Four Different Mental Health Services by Australian Adolescents Aged 13-17 Years: Results from a Nationwide Study

AIM

In this study, we aimed to identify the determinants of four different forms of mental health service usage (general health services, school counselling, telephone, and online services), and the number of mental health services accessed (single and multiple) by Australian adolescents aged 13-17 years. We also measured socioeconomic inequality in mental health services' usage following the concentration index approach within the same sample.

SUBJECT AND METHODS

The data came from the nationwide cross-sectional survey, Young Minds Matter (YMM): the second Australian Child and Adolescent Survey of Mental Health and Wellbeing. Random effect models were used to identify the factors associated with four different mental health services and the number of services accessed. Further, the Erreygers' corrected concentration indices for binary variables were used to quantify the socioeconomic inequality in each mental health service. The four services were the general health service (GP, specialist, psychiatrist, psychologist, hospital including emergency), school services, telephone counselling and online services.

RESULTS

Overall, 31.9% of the total analytical sample (n = 2268) aged 13-17 years old visited at least one service, with 21.9% accessing a single service and 10% accessing multiple services. The highest percentage of adolescents used online services (20.1%), followed by general mental health services (18.3%), while school services (2.4%) were the least used service. Age, gender, family type and family cohesion statistically significantly increased the use of general health and multiple mental health service usage (p < 0.05). Area of residence was also found to be a significant factor for online service use. The concentration indices (CIs) were -0.073 (p < 0.001) and -0.032 (p < 0.001) for health and telephone services, respectively, which implies pro-rich socio-economic inequality.

CONCLUSION

Adolescents from low-income families frequently used general mental health services and telephone services compared to those who belonged to high-income families. The study concluded that if we want to increase adolescents' usage of mental health services, we need to tailor our approaches to their socioeconomic backgrounds. In addition, from a policy standpoint, a multi-sectoral strategy is needed to address the factors related to mental health services to reduce inequity in service utilisation.

Factors contributing to socio-economic inequality in utilization of caesarean section delivery among women in Indonesia: Evidence from Demographic and Health Survey

BACKGROUND

Most of the existing literature in developing countries focused on either the rising trend of CS or its determinants. There is a paucity of population-based studies on existing socioeconomic inequalities in availing CS services by women in Indonesia. This study aimed to assess the factors associated with caesarian section (CS) delivery and explore the various factors contributing to inequalities in CS delivery rates in Indonesia.

METHODS

The study utilized nationally representative cross-sectional data from the Indonesia Demographic and Health Survey (IDHS), 2017. We conducted multivariable logistic regression to find the factors associated with CS delivery. Concentration index and Wagstaff's decomposition analysis were used to examine the socioeconomic inequalities in CS delivery among women and associated factors.

RESULTS

About 17% of women in Indonesia delivered babies through CS. A concentration index of 0.31 in CS delivery rate showed a higher CS delivery rate among women belonging to rich households. About 44.7% of socioeconomic status inequality in CS delivery was explained by educational status among women who went for CS delivery. Women's place of residence explained 30.1% of socioeconomic inequality, and women's age at first birth explained about 11.9% and reporting ANC visits explained 8.4% of the observed inequality. Highest socioeconomic inequality was witnessed in central Sulawesi (0.529), followed by Maluku (0.488) and West Kalimantan (0.457), whereas the lowest was recorded in Yogyakarta (0.021) followed by north Sulawesi (0.047) and east Kalimantan (0.171). Education (44.7%) followed by rural-urban place of residence (30.1%) and age of first birth (11.9%) contributed most to explain the gap in CS delivery among rich and poor women.

CONCLUSION

The study highlighted the higher CS delivery rates among women from higher socioeconomic groups and thus, it is important to frame policies after identifying the population subgroups with potential underuse or overuse of CS method of delivery.

Sex difference and socioeconomic inequality of underweight, overweight and obesity among adult population in Bangladesh

Background: Due to rapid socioeconomic development and epidemiological transition, socioeconomic inequality of underweight, overweight, and obesity are becoming a public health concern in Bangladesh. There is a need for country-specific evidence of nutrition inequalities in Bangladesh. Aim: The aim of the study was to measure socioeconomic inequality and decomposition analysis along with the sex differences in underweight, overweight, and obesity among the adult population. Methods: A secondary data analysis was performed in the Bangladesh Demographic and Health Survey (BDHS) 2017-18, a cross-sectional survey used a multi-stage cluster sampling technique. Sociodemographic variables including age, sex, education, socioeconomic status, marital status, and anthropometric data of height and weight were considered for analysis. Body mass index was used for defining underweight, overweight, and obesity. Concentration index (CI) and decomposition analysis were performed for underweight, overweight, and obesity. Results: The proportion of underweight was 15.0%, overweight (23.0%), and obese (5.0%). Underweight was higher in males, whereas overweight and obesity were higher in females. The CI of underweight was -0.121 (p < 0.001), indicating socioeconomic inequality concentrated on lowering socioeconomic status; living in rural areas contributed 14.2% to this inequality. The CI of overweight and obesity was 0.213 (p < 0.001) and 0.142 (p < 0.001), respectively, indicating that inequalities of overweight and obesity concentrated in higher socioeconomic status; urban residency contributed 14.1% and 18.0% to socioeconomic inequality of overweight and obesity. Conclusion: Underweight remains a significant problem for poor people in rural areas, but overweight and obesity were highly prevalent in the higher socioeconomic status of urban areas. Education level and young age group significantly contribute to the socioeconomic inequality of malnutrition. A more detailed epidemiological study is required to understand the causes of socioeconomic disparities of nutritional status in Bangladesh.

High School Students' Depression Literacy about Interventions and Prevention: A Survey in Tehran

Background

Given the high prevalence of depressive disorders in the present world and the lack of adequate awareness about prevention and appropriate interventions, increasing mental health literacy is vital for promoting mental health to reduce depression and its consequences.

Methods

In this descriptive cross-sectional study, participants were recruited among the second high school students in the 2018-2019 academic year. The sample size was 2038, and samples were selected by multistage cluster sampling from different areas of Tehran. Demographic variables like age, gender, level of education, and parents' characteristics and mental health literacy questions in treatment and prevention areas were evaluated.

Results

Analyses showed that of high school students, 83% considered getting help from psychiatrists and 80% considered learning stress management as the best preventive measures, while as the best treatment measures, 79.5% considered counseling the best place to refer for visiting a professional and 45% selected general counseling centers.

Conclusion

The study results showed that high school students have a positive attitude toward preventing and treating depressive disorders, getting help from specialists, and useful measures for depressed people. But they did not know enough about preventive measures, including learning effective coping skills, reading self-help books, and continuing to take psychiatric medications. Planning and providing the necessary training are important, especially for high school students.

Socioeconomic inequality in depression and anxiety and its determinants in Iranian older adults

BACKGROUND

Older adults with lower socioeconomic status are more vulnerable to stressful life events and at increased risk of common mental health disorders like anxiety and depression. This study investigates the socioeconomic inequality in depressive symptoms and anxiety.

METHODS

The data were from 7462 participants of the Neyshabur longitudinal study of ageing registered during 2016-2018. The outcome variables were anxiety and depressive symptoms. Anxiety was defined by the "Hospital Anxiety and Depression scale Questionnaire", and depressive symptoms was defined and measured by the "short-term form of the Epidemiological Center Questionnaire." The socioeconomic status was defined using principal component analysis of home assets. The Concentration Index (C) was used to measure socioeconomic inequality in anxiety and depressive symptoms. Concentration index was decomposed to its determinants to determine the role of the independent variables on inequality.

RESULTS

The prevalence of depressive symptoms and anxiety was 12.2% (95% CI: 11.4, 12.9) and 7.0% (95% CI: 6.4, 7.5), respectively. Moreover, the C for anxiety was -0.195 (95% CI: -0.254, -0.136) and for depressive symptoms was -0.206 (95% CI: -0.252, -0.159), which indicate a considerable inequality in favor of high socioeconomic group for anxiety and depressive symptoms. Decomposition of the concentration Index showed that education, unemployment and male sex were the most important positive contributors to the observed inequality in anxiety and depressive symptoms, while age and number of grandchildren were main negative contributors of this inequality.

CONCLUSION

Low socioeconomic groups were more affected by anxiety and depressive symptoms. Any intervention for alleviation of inequality in anxiety and depression should be focus on education and employment of people, especially in younger elderly.

Prevalence and Determinants of Severe Mental Disorders in Iran: Evidence from the National Survey of STEPs- 2016

Background: The determinants and correlates of severe mental disorders are less understood compared to the common mental disorders, both in the world and in Iran. In this study, we aimed to identify a wide range of determinants of severe stress, severe anger, and severe sadness among Iranian population. Methods: This study is part of a large nationwide cross-sectional survey entitled STEPs conducted using a comprehensive questionnaire to determine the prevalence of main preventable risk factors of non-communicable diseases (NCDs) in Iran by age and sex groups in 2016. In total, 30541 people aged 18+participated in this study. Univariate and multivariate logistic regression analyses were used to examine the associations between the dependent variable, which is severe mental disorders, and independent variables including socio-economic factors, lifestyle and selected NCDs. Results: The prevalence of severe stress, severe anger and sever sadness in the Iranian society was 33%, 35%, and 25%, respectively. Of the investigated socio-economic factors, being men, older, never married and living in rural areas were associated with significantly lower experience of severe mental disorders compared to other groups. For education, income and wealth index, there was no linear and clear pattern. Among lifestyle factors, being nonsmoker, having low physical activities, and higher intake of fruits and vegetables were found to be preventive of severe mental disorders. Additionally, having NCDs including hypertension, high cholesterol, diabetes and heart attacks were also significantly correlated with severe mental disorders. Conclusion: determining factors associated with severe mental disorders in this study would help in raising people’s awareness on avoiding harmful factors, and taking healthier lifestyle such as quitting smoke, and consuming enough vegetables and fruits. Screening high risk people in terms of mental health could contribute to the reduction of mental disorders in the Iranian community.

Health in Conflict Zones: Analyzing Inequalities in Mental Health in Colombian Conflict-Affected Territories

Objectives: Colombia’s civil conflict and persistent socio-economic disparities have contributed to mental health inequalities in conflict-affected territories. We explore the magnitude of mental health inequalities, contributing socio-economic factors, and sociodemographic characteristics that explain these differences.

Methods: The study draws on data collected in 2018, using the household survey Conflicto, Paz y Salud (CONPAS) applied to 1,309 households in Meta, Colombia. Logistic regression and decomposition analysis were used to analyze the risk of mental health disorders, measured with the Self-Reporting Questionnaire -20 (SRQ-20).

Results: Individuals with lower socio-economic status are at a higher risk for mental health disorders. Forced displacement accounts for 31% of the measured mental health inequalities. Disparities in employment, education level, disability and conflict incidence between municipalities are other contributing factors. Women and people with disabilities are respectively 2.3 and 1.2 times more prone to present a mental health disorder.

Conclusion: It is necessary to tackle the identified risk factors and sociodemographic circumstances that contribute to mental health inequalities in conflict-affected territories, as these hinder adequate/equitable access to mental health services.

Estimating income-related and area-based inequalities in mental health among nationally representative adolescents in Australia: The concentration index approach

Despite the awareness of the importance of mental health problems among adolescents in developed countries like Australia, inequality has not been widely researched. This study, is therefore, aimed to measure and compare household income-related and area-based socioeconomic inequalities in mental health problems (bullying victimization, mental disorders-single and multiple, self-harm and suicidality-ideation, plan and attempt) among Australian adolescents aged 12-17 years. Young Minds Matter (YMM)-the 2nd national cross-sectional mental health and well-being survey involving Australian children and adolescents conducted in 2013-14, was used in this study to select data for adolescents aged 12-17 years (n = 2521). Outcome variables included: bullying, mental disorders, self-harm, and suicidal ideation, plan and attempt. The Erreygers's corrected concentration index (CI) approach was used to measure the socioeconomic inequalities in mental health problems using two separate rank variables-equivalised household income quintiles and area-based Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD) quintiles. The prevalence of mental health problems in the previous 12-months among these study participants were: bullying victimization (31.1%, 95% CI: 29%-33%), mental disorder (22.9%, 95% CI: 21%-24%), self-harm (9.1%, 95% CI: 8%-10%), suicidal ideation (8.5%, 95% CI: 7%-10%), suicidal plan (5.9%, 95% CI: 5%-7%) and suicidal attempt (2.8%, 95% CI: 2%-3%). The concentration indices (CIs) were statistically significant for bullying victimization (CI = -0.049, p = 0.020), multiple mental disorders (CI = -0.088, p = <0.001), suicidal ideation (CI = -0.023, p = 0.047) and suicidal attempt (CI = -0.021, p = 0.002), implying pro-poor socioeconomic inequalities based on equivalized household income quintiles. Similar findings revealed when adolescents mental health inequalities calculated on the basis of area based IRSAD (Index of Relative Socio-economic Advantage and Disadvantage) quintiles. Overall, adolescents from economically worse-off families experienced more mental health-related problems compared to those from economically better-off families. This has implications for prevention strategies and government policy in order to promote mental health and provide equitable healthcare facility.

Economic Inequality in Visual Impairment: A Study in Deprived Rural Population of Iran

Purpose:

To determine economic inequality in visual impairment (VI) and its determinants in the rural population of Iran.

Methods:

In this population-based, cross-sectional study, 3850 individuals, aged 3–93 years were selected from the north and southwest regions of Iran using multi-staged stratified cluster random sampling. The outcome was VI, measured in 20 feet. Economic status was constructed using principal component analysis on home assets. The concentration index (C) was used to determine inequality, and the gap between low and high economic groups was decomposed to explained and unexplained portions using the Oaxaca–Blinder decomposition method.

Results:

Of the 3850 individuals that were invited, 3314 participated in the study. The data of 3095 participants were finally analyzed. The C was −0.248 (95% confidence interval [CI]: −0.347 - −0.148), indicating a pro-poor inequality (concentration of VI in low economic group). The prevalence (95% CI) of VI was 1.72% (0.92–2.52) in the high economic group and 10.66% (8.84–12.48) in the low economic group with a gap of 8.94% (6.95–10.93) between the two groups. The explained and unexplained portions comprised 67.22% and 32.77% of the gap, respectively. Among the study variables, age (13.98%) and economic status (80.70%) were significant determinants of inequality in the explained portion. The variables of education (coefficient: −4.41; P < 0.001), age (coefficient: 14.09; P < 0.001), living place (coefficient: 6.96; P: 0.006), and economic status (coefficient: −7.37; P < 0.001) had significant effects on inequality in the unexplained portion.

Conclusions:

The result showed that VI had a higher concentration in the low economic group, and the major contributor of this inequality was economic status. Therefore, policymakers should formulate appropriate interventions to improve the economic status and alleviate economic inequality.

Advances and challenges on the path toward the SDGs: subnational inequalities in Mexico, 1990-2017

BACKGROUND

The sustainable development goals (SDGs) have generated momentum for global health, aligning efforts from governments and international organisations toward a set of goals that are expected to reflect improvements in life conditions across the globe. Mexico has huge social inequalities that can affect access to quality care and health outcomes. The objective of this study is to analyse inequalities among Mexico's 32 states on the health-related SDG indicators (HRSDGIs) from 1990 to 2017.

METHODS

These analyses rely on the estimation of HRSDGIs as part of the Global Burden of Disease study 2017. We estimated the concentration index for 40+3 HRSDGI stratified by Socio-demographic Index and marginalisation index, and then for indicators where inequalities were identified, we ran decomposition analyses using structural variables such as gross domestic product per capita, poverty and health expenditure.

FINDINGS

Mexico has made progress on most HRSDGIs, but current trends in improvement do not appear to fast enough to meet 2030 targets. Out of 43 HRSDGIs, we identified evidence of inequality between Mexico's states for 30 indicators; of those, 23 HRSDGIs were unequal distributed affecting states with lower development and seven affecting states with higher development. The decomposition analysis indicates that social determinants of health are major drivers of HRSDGI inequalities in Mexico.

INTERPRETATION

Modifying current trends for HRSDGIs will require subnational-level and national-level policy action, of which should be informed by the latest available data and monitoring on the health-related SDGs. The SDGs' overarching objective of leaving no-one behind should be prioritised not only for individuals but also for communities and other subnational levels.

Socioeconomic inequality in noncommunicable diseases: Results from a baseline Persian cohort study

Background: Contrary to health indices advancement during recent years, health inequalities are still a global challenge. This study aimed to determine socioeconomic factors for noncommunicable diseases using concentration indices (CI).

Methods: This cross-sectional study was conducted on the baseline data from a cohort study in Fasa (southern Iran). Principle component analysis was used to measure asset index. Moreover, socioeconomic inequalities were calculated by CI. Analysis was done at 95% confidence level using STATA software.

Results: A total of 7990 individuals were included in the study. The highest negative CIs were significantly found for epilepsy (-0.334), paramnesia (-0.255), and learning disabilities (-0.063), respectively, and the lowest were significantly found for chronic headaches (-0.046), recurrent headaches (-0.03), infertility (-0.028) and hypertension (-0.057). This index was positive for breast cancer (0.298). Furthermore, it was not Significant for diabetes, thyroid disorders, depression, and chronic lung diseases.

Conclusion: The findings showed a significant inequality in the most of the noncommunicable diseases in the region, which are more concentrated among the poorest population. Policymakers in the health system and city planners should consider these results to decrease the burden of noncommunicable diseases in the society by identifying vulnerable subcategories.

Health equity in Iran: A systematic review

Background: Health inequities are among debatable and challenging aspects of health systems. Achieving equity through social determinants of health approach has been mentioned in most upstream national plans and acts in Iran. This paper reports the findings of a systematic review of the current synthesized evidence on health equity in Iran.

Methods: This is a narrative systematic review. The relevant concepts and terminology in health equity was found through MeSH. We retrieved the relevant studies from PubMed/MedLine, Social Sciences Database, and Google Scholar in English, plus the Jihad University Database (SID), and Google Scholar in Farsi databases from 1979 until the end of January 2018. The retrieved evidence has been assessed primarily based on PICOS criteria and then Ottawa-Newcastle Scale, and CASP for qualitative studies. We used PRISMA flow diagram and a narrative approach for synthesizing the evidence.

Results: We retrieved 172 455 studies. Following the primary and quality appraisal process, 114 studies were entered in the final phase of the analysis. The main part (approximately 95%) of the final phase included cross-sectional studies that had been analyzed through current descriptive inequality analysis indicators, analytical regression, or decomposition-based approaches. The studies were categorized within 3 main groups: health outcomes (40.3%), health utilization (32%), and health expenditures (27%).

Conclusion: As a part of understanding the current situation of health equity in the policymakers’ need to refer the retrieved evidence in this study, they need more inputs specially regarding the social determinants of health approach. It seems that health equity research plan in Iran needs to be redirected in new paths that give appropriate weights to biological, gene-based, environmental and contextbased, economic, social, and political aspects of health as well. We advocate addressing the aspects of Social Determinant of Health (SDH) in analyzing health inequalities.

Childhood socioeconomic status and adulthood mental health: results from the survey on employees of Tehran University of Medical Sciences

BACKGROUND

Socioeconomic status, especially during childhood, is known as one of the key factors affecting health. This study's objective was to investigate the association between childhood socioeconomic and mental health status in adulthood.

METHODS

This cross-sectional study was conducted on 2062 employees of Tehran University of Medical Sciences. Depression, stress and anxiety were measured using the validated DASS-42 questionnaire. A self-rated question was used to assess childhood socioeconomic status. Other variables including age, sex, marital status, and also wealth index, were measured. Linear regression models were used to analyze the data.

RESULTS

24.6% of men and 33.8% of women had degrees of depression (mild, moderate, severe or very severe). 32.9% of men and 29.4% of women had mild, moderate, severe or very severe anxiety. 36.3% of men and 45.2% of women also exhibited mild, moderate, severe or very severe stress. Results showed after adjusting for the current socioeconomic status, childhood socioeconomic status has a relationship with the mental health of individuals.

CONCLUSION

People with a suboptimal childhood socioeconomic status seem to be a high-risk group for depression, stress and anxiety in adulthood. Strategies need to put into practice to improve the mental health of these people.

Inequality in health insurance coverage before and after the Affordable Care Act

This study examines how the Affordable Care Act (ACA) affected income related inequality in health insurance coverage in the United States. Analyzing data from the American Community Survey (ACS) from 2010 through 2018, we apply difference-in-differences, and triple-differences estimation to the Recentered Influence Function OLS estimation. We find that the ACA reduced inequality in health insurance coverage in the United States. Most of this reduction was a result of the Medicaid expansion. Additional decomposition analysis shows there was little change in inequality of coverage through an employer plan, and a decrease in inequality for coverage through direct purchase of health insurance. These results indicate that the insurance exchanges also contributed to declining inequality in health insurance coverage.

A light of hope? Inequalities in mental health before and after the peace agreement in Colombia: a decomposition analysis

Background

The present study seeks to evaluate the change in mental health inequalities in the department of Meta after the signing of Colombia’s Peace Agreement in 2016 with the FARC guerrilla group. Using a validated survey instrument composed of 20 questions (‘SRQ-20’), we measure changes in mental health inequalities from 2014, before the signing of the agreement, to 2018, after the signing. We then decompose the changes in inequalities to establish which socioeconomic factors explain differences in mental health inequalities over time.

Methods

Our study uses information from the Conflicto, Salud y Paz (CONPAS) survey conducted in the department of Meta, Colombia, in 1309 households in 2018, with retrospective information for 2014. To measure inequalities, we calculate the concentration indices for both years. Through the Oaxaca change decomposition method, we disaggregate changes in mental health inequalities into its underlying factors. This method allows us to explain the relationship between changes in mental health inequalities and changes in inequalities in several sociodemographic factors. It also identifies the extent to which these factors help explain the changes in mental health inequalities.

Results

Mental health inequalities in Meta were reduced almost by half from 2014 to 2018. In 2018, the population at the lower and middle socioeconomic levels had fewer chances of experiencing mental health disorders in comparison to 2014. The reduction in mental health differences is mostly attributed to reductions in the influence of certain sociodemographic variables, such as residence in rural zones and conflict-affected territories, working in the informal sector, or experiencing internal displacement. However, even though mental health inequalities have diminished, overall mental health outcomes have worsened in these years.

Conclusions

The reduction in the contribution of conflict-related variables for explaining mental health inequalities could mean that the negative consequences of conflict on mental health have started to diminish in the short run after the peace agreement. Nevertheless, conflict and the presence of other socioeconomic inequalities still contribute to persistent adverse mental health outcomes in the overall population. Thus, public policy should be oriented towards improving mental health care services in these territories, given the post-accord context.

Decomposing socioeconomic inequality in poor mental health among Iranian adult population: results from the PERSIAN cohort study

BACKGROUND

Socioeconomic inequality in mental health in Iran is poorly understood. This study aimed to assess socioeconomic inequality in poor mental health among Iranian adults.

METHODS

The study used the baseline data of PERSIAN cohort study including 131,813 participants from 17 geographically distinct areas of Iran. The Erreygers Concentration index (E) was used to quantify the socioeconomic inequalities in poor mental health. Moreover, we decomposed the E to identify factors contributing to the observed socioeconomic inequality in poor mental health in Iran.

RESULTS

The estimated E for poor mental health was - 0.012 (95% CI: - 0.0144, - 0.0089), indicating slightly higher concentration of mental health problem among socioeconomically disadvantaged adults in Iran. Socioeconomic inequality in poor mental health was mainly explained by gender (19.93%) and age (12.70%). Region, SES itself, and physical activity were other important factors that contributed to the concentration of poor mental health among adults with low socioeconomic status.

CONCLUSION

There exists nearly equitable distribution in poor mental health among Iranian adults, but with important variations by gender, SES, and geography. These results suggested that interventional programs in Iran should focus on should focus more on socioeconomically disadvantaged people as a whole, with particular attention to the needs of women and those living in more socially disadvantaged regions.

Inequalities in health-related quality of life and the contribution from socioeconomic status: evidence from Tibet, China

Background

This study aimed to understand the association between socioeconomic status (SES) and Health Related Quality of Life (HRQoL) and the contribution of SES to health inequality among Tibetans of agricultural and pastoral areas (APA) in Tibet, China.

Methods

The data were from Health Survey of Tibetans in APA conducted in 2014. A total of 816 respondents were enrolled for the analysis Multiple linear regression was employed to examine the relationship between SES and HRQoL. Concentration index (CI) was used to measure the degree of health inequality and a Wagstaff-type CI decomposition method was applied to measure the contribution of SES to inequality.

Results

SES had significant association with HRQoL among the Tibetans in APA. The high SES group was more likely to have a higher Eq-5d index (0.77 vs. 0.67, P < 0.001) and VAS (72.94 vs. 62.41, P < 0.001) than the low SES group. The Concentration index of the Eq-5d index and VAS for total sample was 0.022 and 0.026 respectively, indicating a slight pro-rich inequality among this population. The decomposition analyses showed the SES is the main contributor to health inequality and contributed 45.50 and 41.39% to inequality for the Eq-5d index and VAS, respectively.

Conclusion

The results showed SES is positively associated with HRQoL among Tibetans in APA. There was a slight pro-rich inequality in the health of the participants and most health inequality was attributable to SES. This study is helpful in gaining an insight into the HRQoL, health inequality and the relationship between SES and health inequality among Tibetans of APA in China.

Can the reform of integrating health insurance reduce inequity in catastrophic health expenditure? Evidence from China

BACKGROUND

China's fragmentation of social health insurance schemes has become a key obstacle that hampers equal access to health care and financial protection. This study aims to explores if the policy intervention Urban and Rural Residents Basic Medical Insurance (URRBMI) scheme, which integrates Urban Resident Basic Medical Insurance (URBMI) and New Rural Cooperative Medical Scheme (NCMS), can curb the persistent inequity of catastrophic health expenditure (CHE) and further analyses the determinants causing inequity.

METHODS

Data were derived from the Fifth National Health Service Survey (NHSS). A total of 11,104 households covered by URRBMI and 20,590 households covered by URBMI or NCMS were selected to analyze CHE and the impoverishment rate from medical expenses. Moreover, the decomposition method based on a probit model was employed to analyse factors contributing CHE inequity.

RESULTS

The overall incidence of CHE under integrated insurance scheme was 15.53%, about 1.10% higher than the non-integrated scheme; however, the intensity of CHE and impoverishment among the poorest was improved. Although CHE was still concentrated among the poor under URRBMI (CI = -0.53), it showed 28.38% lower in the degree of inequity. For URRBMI households, due to the promotion of integration reform to the utilization of rural residents' better health services, the factor of residence (24.41%) turns out to be a major factor in increasing inequity, the factor of households with hospitalized members (- 84.53%) played a positive role in reducing inequity and factors related to social economic status also contributed significantly in increasing inequity.

CONCLUSION

The progress made in the integrated URRBMI on CHE equity deserves recognition, even though it did not reduce the overall CHE or the impoverishment rate effectively. Therefore, for enhanced equity, more targeted solutions should be considered, such as promoting more precise insurance intervention for the most vulnerable population and including costly diseases suitable for outpatient treatment into benefit packages. Additionally, comprehensive strategies such as favourable targeted benefit packages or job creation are required for the disadvantaged.

Explaining Income-Related Inequalities in Dietary Knowledge: Evidence from the China Health and Nutrition Survey

Lack of adequate dietary knowledge may result in poor health conditions. This study aims to measure income-related inequality in dietary knowledge, and to explain the sources of the inequality. Data were from the China Health and Nutrition Survey (CHNS) conducted in 2015. A summary of the dietary knowledge score and dietary guideline awareness was used to measure the dietary knowledge of respondents. The concentration index was employed as a measure of socioeconomic inequality and was decomposed into its determining factors. The study found that the proportion of respondents who correctly answered questions on dietary knowledge was significantly low for some questions. Compared to rural residents, urban residents had a higher proportion of correctly answered dietary knowledge questions. In addition, there are pro-rich inequalities in dietary knowledge. This observed inequality is determined not only by individual factors but also high-level area factors. Our study recommends that future dietary education programs could take different strategies for individuals with different educational levels and focus more on disadvantaged people. It would be beneficial to consider local dietary habits in developing education materials.

Socioeconomic inequalities in mental health in Australia: Explaining life shock exposure

BACKGROUND

Recent research suggests that there exists a strong link between life shocks and mental health. However, research on the distributional aspects of these shocks on mental health status is limited. In the health inequality literature no Australian studies have examined this relationship.

OBJECTIVE

This study examines the distributional impact of life shocks (negative life events and financial hardships) on mental health inequality among different socioeconomic groups in a longitudinal setting in Australia.

METHODS

This study analysed the data of 13,496 individuals from the Household, Income and Labour Dynamics in Australia (HILDA) survey, waves 12-17 (2012-2017). Using concentration index and Blinder-Oaxaca approaches, the study decomposed socioeconomic inequalities in mental health and changes in inequalities in mental health over the study period. The study used frailty indices to capture the severity of life shocks experienced by an individual.

RESULTS

The results suggest that exposure to just one life shock will result in a greater risk of mental disorder in the most disadvantaged socioeconomic groups. The results also indicate that 24.7%-40.5% of pro-rich socioeconomic mental health inequality are due to life shocks. Financial hardship shocks contributes to 21.6%-35.4% of inequality compared with 2.3%-5.4% inequality generated by negative life event shocks across waves.

CONCLUSIONS

Lower SES groups experience more life shocks than higher SES groups and in turn generate higher socioeconomic mental health inequality. Policies aimed at reducing socioeconomic inequality in mental health should account for these shocks when designing interventions.

Decomposing Socioeconomic Inequality in Health Literacy in Iran: A Concentration Index Approach

BACKGROUND

Health literacy is a major factor for health promotion and well-being. In spite of several researches on health literacy, information on the subject of the status of health literacy in Asian countries such as Iran is inadequate. Therefore, this study aimed to assess the inequality of health literacy in an Iranian population and its influencing factors.

METHODS

In this cross-sectional study, 736 families were selected by cluster random sampling. A validated questionnaire was used to measure the health literacy of participants. Socioeconomic status (SES) was calculated by asset-based approach, and principal component analysis (PCA) was performed to estimate the families' SES. Concentration index and curve were used to measure SES inequality in health literacy, and after that decomposed into its determinants. The data were analyzed by Stata software.

RESULTS

The mean age of the participants was 34.81 years (standard deviation = 5.98 years). The value of concentration index for health literacy equals 0.2292 (95% confidence interval = 0.168-0.283), and this value indicates that there is inequality in distribution of health literacy in Iran and the inequality disfavors the poor.

CONCLUSIONS

The results of this study revealed that there is inequality in distribution of health literacy in Iran, and people of higher economic status in Iran enjoy from better health literacy levels.

Economic Inequality in Life Satisfaction and Self-perceived Health in Iranian Children and Adolescents: The CASPIAN IV Study

Background:

The purpose of this study was to assess socioeconomic status (SES) inequality in life satisfaction (LS) and good self-perceived health (SPH) in Iranian children and adolescents.

Methods:

This nationwide study was conducted as part of a fourth national school-based surveillance program performed on 14880 students aged 6–18 years who were living in urban and rural areas of 30 provinces of Iran between 2011 and 2012. Using principle component analysis, the SES of participants was constructed as single variable. SES inequality in LS and good SPH across the SES quintiles was assessed using the concentration index (C) and slope index of inequality (SII). The determinants of this inequality are investigated by the Oaxaca Blinder decomposition method.

Results:

Frequency of LS along with the SES quintiles shifted significantly from 73.28% (95% CI: 71.49, 75.08) in the lowest quintile to 86.57% (95% CI:85.20, 87.93) in the highest SES quintile. Frequency of favorable SPH linearly increased from lowest SES quintile (76.18% (95% CI: 74.45, 77.92)) to highest SES quintile (83.39% (95% CI: 81.89, 84.89)). C index for LS and good SPH was negative, which suggests inequality was in favor of high SES group. SII for LS and SPH was 15.73 (95% CI: 12.10, 19.35) and 8.21 (95% CI: 5.46, 10.96)]. Living area and passive smoking were the most contributed factors in SES inequality of LS. Also passive smoking and physical activity were the most contributed factors in SES inequality of SPH.

Conclusions:

SES inequality in LS and good SPH was in favor of high SES group. These findings are useful for health policies, better programming and future complementary analyses.

A Decomposition Analysis of Inequality in Malnutrition among Under-Five Children in Iran: Findings from Multiple Indicator Demographic and Health Survey, 2010

BACKGROUND

Nutritional status at the early stages of children's lives is essential for growth and development not only in infancy but also in adult life. This study aimed to measure the inequality in malnutrition among under-five children in Iran and explore the impact of socioeconomic factors on this inequality using a regression-based decomposition approach.

METHODS

Data were extracted from Iran's Multiple-Indicator Demographic and Health Survey 2010. The concentration index of stunting, underweight, and wasting were applied in order to measure the magnitude of socioeconomic inequality in child malnutrition. Moreover, the concentration indices were decomposed to understand the contribution of socioeconomic variables in childhood malnutrition inequality.

RESULTS

The obtained concentration indices of stunting, underweight, and wasting were respectively -0.177, -0.092, and -0.031. Socioeconomic inequality in stunting and underweight was statistically significant, however this socioeconomic gradient was not observed in wasting. More than 50% of the inequality in stunting and about 63% of the inequality in underweight were influenced by socioeconomic status. Furthermore, maternal education was associated with 19% and 22% of inequality in stunting and underweight respectively.

CONCLUSION

The average reduction of malnutrition indices at the national level hides the burden of malnutrition among children in poor families. If government and policymakers seek to solve this problem, they have to take direct and targeted actions to eliminate the existing inequalities in the socioeconomic determinants associated with malnutrition.

Equity of health workforce distribution in Thailand: an implication of concentration index

Background

Geographical maldistribution has been a critical concern of health workforce planning in Thailand for years. This study aimed to assess the equity of health workforce distribution in public hospitals affiliated to the Office of Permanent Secretary (OPS) of the Ministry of Public Health (MOPH) through the application of “concentration index” (CI).

Methods

A cross sectional quantitative design was employed. The dataset comprised 1) health workforce data from the OPS, MOPH in 2016, 2) regional and provincial-level economic data from the National Economic and Social Development Board in 2015, and 3) population data from the Ministry of Interior in 2015. Descriptive statistics, Spearman’s rank correlation, and CI analysis were performed.

Results

Thailand had 2.04 health professionals working in public facilities per 1,000 population. Spearman’s correlation found positive relationship in all health professionals. Yet, statistical significance was not found in most health professionals but doctors (P<0.001). Positive correlation was observed in all health cadres at regional and provincial hospitals (r_s=0.348, P=0.002). In the CI analysis, the distribution of health professionals across provincial income was relatively equitable in all cadres. Significant CIs were found in doctor density (CI =0.055, P=0.001), all professionals density at district hospitals (CI =–0.049, P=0.012), and all professionals density at provincial and regional hospitals (CI =0.078, P=0.003).

Conclusion

The positive CIs implied that the distribution of all health professionals, especially doctors, at provincial and regional hospitals slightly favored the richer provinces. In contrast, the distribution at district hospitals was slightly more concentrated in less well-off provinces. From a macro-view, the distribution of all health professionals in Thailand was relatively equitable across provincial economic status. This might be due to the extensive health infrastructure development and rural retention policies over the past four decades.

Measurement components of socioeconomic status in health-related studies in Iran

OBJECTIVE

The socioeconomic status (SES) is as a symbol of social determinants of health which has a dominant influence on population health. The purpose of this study was collecting, weighing, and determining the most relevant SES measurement items in Iran.

RESULTS

The SES health studies conducted in Iran was searched from 2007 to 2017. First, the SES items were categorized. Then, each item was weighed based on its reliability and generalizability. Finally, the necessity of items was determined, weighed, and ranked. This is the two-round Delphi technique. After weighing 57 SES items, 37 items were selected with ≥ 1 weight and classified in 7 categories. According to the Delphi evaluation, 15 items were identified ≥ 3.5 for measuring SES of Iranian households: household size, head of household education, head of household job, household monthly income, type of school that children attend, house ownership, local value of residence, number of rooms in the house, house area, personal computer/laptop, smart cell phone, 3D TV, dishwasher, microwave, and car ownership. The SES items for the present society are categorized in 7 domains. The items collected in this study have the most comprehension of all studies related to income, life facilities, and assets.

Decomposing disparity in adult individual's mental health in Tehran among lower and higher economic groups; an Oaxaca- Blinder analysis on urban HEART Survey- round 2

BACKGROUND

Mental health is one of the main aspects of social well-being. Tehran -capital of Iran- is metropolitan, where the mental health status of citizens is not prioritized effectively.

OBJECTIVES

The purpose of this study was identifying contributors of mental health inequality between lower and higher economic groups in Tehran through Oaxaca- Blinder method.

METHODS

The study was conducted by the data of Tehran's Urban Heart Survey- Round 2 (2012). Through a three- stage stratified and clustered sampling method, 34,700 were selected as samples. The mental health status was measured by the General Health Questionnaire 28- items (GHQ- 28) and the quantity of the inequality in mental health was measured by corrected concentration index. The Fairlie's decomposition approach was performed in STATA 14.

RESULTS

The corrected concentration index were: -0.0967 and -0.1004 by Erreyger's and Wagstaff 's approaches. Being of the Iranian origin, disability conditions, employment status and smoking were identified as the main contributors of inequality in mental health among lower and higher economic groups.

CONCLUSION

Thus, re-organizing strategies and plans on promoting the socio- economic status of non-Iranian residents, improving employment opportunities, developing well-designed environment for disabled individuals and supporting plans to reduce smoking is recommended to the urban policy makers.

What has Iran achieved in under-five mortality in terms of equity and efficiency in the past decades?

OBJECTIVE

Iran has made remarkable progress in reducing child mortality over the past few decades. However, this promising profile is mainly average driven, and inequalities are not counted in judgments about the progress. In the present study, we used an achievement index approach to combine average and inequalities to provide a better picture of Iran's achievement in under-five mortality over the last two decades.

STUDY DESIGN

The study had a cross-sectional design.

METHODS

Data gathered in the two recent national demographic health surveys (DHSs) in 2000 and 2010 were used to conduct the analyses. Accordingly, 45,646 live births covered by DHS 2000 and 10,604 live births covered by DHS 2010 were investigated. An achievement index was constructed by incorporating some extensions to the concentration index, namely by incorporation of the average into the index.

RESULTS

The standard concentration index showed that under-five mortality was unequally distributed, hurting the poor, across all provinces and Iran overall in 2000 (concentration index = -0.1311 [standard error {SE} = 0.0139]) and 2010 (-0.1367 [SE = 0.0381]). The achievement index revealed that Iran has had achievements in under-five mortality (relative change in the mean has decreased from 29.5% to 25.8%), but the achievement was mostly due to reductions in the average mortality and not in its unequal distribution. The same result applied to a considerable number of provinces, and only a few have made achievements in both inequality and average.

CONCLUSIONS

Considering the lack of progress in the reduction of inequalities in under-five mortality over the past decades, equity-oriented policies should be of prime importance for Iran's healthcare system.

Socio-economic inequalities in health services utilization: a cross-sectional study

Purpose Developing country workers mainly face important challenges when examining equality in health services utilization among the population and identifying influential factors. The purpose of this paper us to: understand health service use among households with different socio-economic status in Isfahan province; and to investigate probable inequality determinants in service utilization. Design/methodology/approach Almost 1,040 households living in Isfahan province participated in this cross-sectional study in 2013. Data were collected by a questionnaire with three sections: demographic characteristics; socio-economic status; and health services utilization. The concentration index was applied to measure inequality. Analysts used STATA 11. Findings Economic status, educational level, insurance coverage and household gender were the most influential factors on health services utilization. Those with a high socio-economic level were more likely to demand and use such services; although self-medication patterns showed an opposite trend. Practical implications Female-headed families face with more difficulties in access to basic human needs including health. Supportive policies are needed to meet their demands. Originality/value The authors used principle component analysis to assess households' economic situation, which reduced the variables into a single index.

Explaining mental health inequalities in Northern Sweden: a decomposition analysis

Background: There has been a substantial increase of income inequalities in Sweden over the last 20 years, which also could be reflected in health inequalities, including mental health inequalities. Despite the growing body of literature focusing on health inequalities in Sweden, income-related inequalities in mental health have received little attention. Particularly scarce are research from Northern Sweden and examinations of the social determinants of health inequalities.

Objectives: The present study seeks to provide evidence regarding inequalities in mental health in Northern Sweden. The specific aims were to (1) quantify the income-related inequality in mental health in Northern Sweden, and (2) determine the contribution of social determinants to the inequality.

Methods: The study population comprised 25,646 participants of the 2014 Health on Equal Terms survey in the four northernmost counties of Sweden, aged 16 to 84 years old. Income-related inequalities in mental health were quantified by the concentration index and further decomposed by applying Wagstaff-type decomposition analysis.

Results: The overall concentration index of mental health in Northern Sweden was

−0.15 (95% CI: −0.17 to −0.13), indicating income inequalities in mental health disfavoring the less affluent population. The decomposition analysis results revealed that socio-economic conditions, including employment status (31%), income (22.6%), and cash margin (14%), made the largest contribution to the pro-rich inequalities in mental health. The second-largest contribution came from demographic factors, mainly age (11.3%) and gender (6%). Psychosocial factors were of smaller importance, with perceived discrimination (8%) and emotional support (3.4%) making moderate contributions to the health inequalities. Conclusions: The present study demonstrates substantial income-related mental health inequalities in Northern Sweden, and provides insights into their underpinnings. These findings suggest that addressing the root causes is essential for promoting mental health equity in this region.

Economic Inequality in Presenting Vision in Shahroud, Iran: Two Decomposition Methods

Background: Visual acuity, like many other health-related problems, does not have an equal distribution in terms of socio-economic factors. We conducted this study to estimate and decompose economic inequality in presenting visual acuity using two methods and to compare their results in a population aged 40-64 years in Shahroud, Iran.

Methods: The data of 5188 participants in the first phase of the Shahroud Cohort Eye Study, performed in 2009, were used for this study. Our outcome variable was presenting vision acuity (PVA) that was measured using LogMAR (logarithm of the minimum angle of resolution). The living standard variable used for estimation of inequality was the economic status and was constructed by principal component analysis on home assets. Inequality indices were concentration index and the gap between low and high economic groups. We decomposed these indices by the concentration index and BlinderOaxaca decomposition approaches respectively and compared the results.

Results: The concentration index of PVA was -0.245 (95% CI: -0.278, -0.212). The PVA gap between groups with a high and low economic status was 0.0705 and was in favor of the high economic group. Education, economic status, and age were the most important contributors of inequality in both concentration index and Blinder-Oaxaca decomposition. Percent contribution of these three factors in the concentration index and Blinder-Oaxaca decomposition was 41.1% vs. 43.4%, 25.4% vs. 19.1% and 15.2% vs. 16.2%, respectively. Other factors including gender, marital status, employment status and diabetes had minor contributions.

Conclusion: This study showed that individuals with poorer visual acuity were more concentrated among people with a lower economic status. The main contributors of this inequality were similar in concentration index and Blinder-Oaxaca decomposition. So, it can be concluded that setting appropriate interventions to promote the literacy and income level in people with low economic status, formulating policies to address economic problems in the elderly, and paying more attention to their vision problems can help to alleviate economic inequality in visual acuity.

Socioeconomic differential in self-assessment of health and happiness in 5 African countries: Finding from World Value Survey

Objective

Factors that contribute to wealth related inequalities in self-rated health (SRH) and happiness remains unclear most especially in sub-Saharan countries (SSA). This study aims to explore and compare socioeconomic differentials in SRH and happiness in five SSA countries.

Methods

Using the 2010/2014 World Values Survey (WVS), we obtained a sample of 9,869 participants of age 16 and above from five SSA countries (Nigeria, Ghana, South Africa, Rwanda and Zimbabwe). Socioeconomic inequalities were quantified using the concentration index. The contribution of each predictor to concentration index’s magnitude was obtained by means of regression based decomposition analysis.

Results

Poor SRH ranges from approximately 9% in Nigeria to 20% in Zimbabwe, whereas unhappiness was lower in Rwanda (9.5%) and higher in South Africa (23.3%). Concentration index was negative for both outcomes in all countries, which implies that poor SRH and unhappiness are excessively concentrated among the poorest socioeconomic strata. Although magnitudes differ across countries, however, the major contributor to wealth-related inequality in poor SRH is satisfaction with financial situation whereas for unhappiness the major contributors are level of income and satisfaction with financial situation.

Conclusions

This study underscores an association between wealth related inequalities and poor SRH and unhappiness in the context of SSA. Improving equity in health, as suggested by the commission of social determinants of health may be useful in fighting against the unfair distribution of resources. Thus, knowledge about the self-rating of health and happiness can serve as proxy estimates for understanding the distribution of health care access and economic resources needed for well-being in resident countries.

Factors contributing to regional inequalities in acute respiratory infections symptoms among under-five children in Nigeria: a decomposition analysis

BACKGROUND

Acute respiratory infections (ARI) are major causes of morbidity and mortality in many low-income countries. Although factors associated with ARI symptoms in children under 5 years of age have been identified; however, variation in their prevalence resulting from regional-specific proximate determinants has received little attention. Therefore, we aim to investigate the specific regional determinants of overall and wealth-related inequality in children having ARI in Nigeria over a decade.

METHODS

We analyzed trends in development of ARI symptoms among children under 5 years of age in Nigeria using nationally representative cross sectional surveys carried out in 2003, 2008 and 2013. Overall- and household wealth index based- inequality in the distribution of prevalence of ARI symptoms were estimated by region using Gini index and Concentration Index, respectively. Multivariate logistic regressions for complex survey and decomposition analysis for both indexes were used to calculate percentual contribution.

RESULTS

We found a decreasing trend in development of ARI symptoms over the decade between regions. Children in South Western region had reduced likelihood of developing the symptoms. Concentration index (CI) for the prevalence of ARI symptoms over the years and across regions had negative values (all p < 0.05). Gini index (GI) varies from 0.21 in North East to 0.62 in South Western region. Furthermore, the mapping showed that the extent at which both inequalities contribute to ARI symptoms prevalence in each region is different. The four major sources of wealth-related inequalities were poor households, no maternal education, biomass cooking, and rural area. The major contributors to overall inequalities were having a child aged 6 to 23 months, having no maternal education, having no vaccination card, and having a high birth order/short birth interval.

CONCLUSIONS

Although ARI prevalence decreased over the decade, it has remained unequally distributed between regions and over the time. The sources of those inequalities are context sensitive. Thus, in future health promotion initiatives, it is imperative to account for regional variations in the distribution of ARI.

Measurement and decomposition of socioeconomic inequality in single and multimorbidity in older adults in China and Ghana: results from the WHO study on global AGEing and adult health (SAGE)

BACKGROUND

Globally people are living longer and enduring non-communicable diseases (NCDs) many of which co-occur as multimorbidity. Demographic and socioeconomic factors are determinants of inequalities and inequities in health. There is a need for country-specific evidence of NCD inequalities in developing countries where populations are ageing rapidly amid economic and social change. The study measures and decomposes socioeconomic inequality in single and multiple NCD morbidity in adults aged 50 and over in China and Ghana.

METHODS

The data source is the World Health Organization Study on Global AGEing and Adult Health (SAGE) Wave 1 (2007-2010). Nationally representative cross-sectional data collected from adults in China (n = 11,814) and Ghana (n = 4,050) are analysed. Country populations are ranked by a socioeconomic index based on ownership of household assets. The study uses a decomposed concentration index (CI) of single and multiple NCD morbidity (multimorbidity) covering arthritis, diabetes, angina, stroke, asthma, depression, chronic lung disease and hypertension. The CI quantifies the extent of overall inequality on each morbidity measure. The decomposition utilises a regression-based approach to examine individual contributions of demographic and socioeconomic factors, or determinants, to the overall inequality.

RESULTS

In China, the prevalence of single and multiple NCD morbidity was 64.7% and 53.4%, compared with 65.9% and 55.5% respectively in Ghana. Inequalities were significant and more highly concentrated among the poor in China (single morbidity CI = -0.0365: 95% CI = -0.0689,-0.0040; multimorbidity CI = -0.0801: 95% CI = -0.1233,-0.0368;). In Ghana inequalities were significant and more highly concentrated among the rich (single morbidity CI = 0.1182; 95% CI = 0.0697, 0.1668; multimorbidity CI = 0.1453: 95% CI = 0.0794, 0.2083). In China, rural residence contributed most to inequality in single morbidity (36.4%) and the wealth quintiles contributed most to inequality in multimorbidity (39.0%). In Ghana, the wealth quintiles contributed 24.5% to inequality in single morbidity and body mass index contributed 16.2% to the inequality in multimorbidity.

CONCLUSIONS

The country comparison reflects different stages of economic development and social change in China and Ghana. More studies of this type are needed to inform policy-makers about the patterning of socioeconomic inequalities in health, particularly in developing countries undergoing rapid epidemiological and demographic transitions.

Changes in Socio-Economic Inequality in Neonatal Mortality in Iran Between 1995-2000 and 2005-2010: An Oaxaca Decomposition Analysis

BACKGROUND

Exploring changes in health inequality and its determinants over time is of policy interest. Accordingly, this study aimed to decompose inequality in neonatal mortality into its contributing factors and then explore changes from 1995-2000 to 2005-2010 in Iran.

METHODS

Required data were drawn from two Iran's demographic and health survey (DHS) conducted in 2000 and 2010. Normalized concentration index (CI) was used to measure the magnitude of inequality in neonatal mortality. The contribution of various determinants to inequality was estimated by decomposing concentration indices in 1995-2000 and 2005-2010. Finally, changes in inequality were investigated using Oaxaca-type decomposition technique.

RESULTS

Pro-rich inequality in neonatal mortality was declined by 16%, ie, the normalized CI dropped from -0.1490 in 1995-2000 to -0.1254 in 2005-2010. The largest contribution to inequality was attributable to mother's education (32%) and household's economic status (49%) in 1995-2000 and 2005-2010, respectively. Changes in mother's educational level (121%), use of skilled birth attendants (79%), mother's age at the delivery time (25-34 years old) (54%) and using modern contraceptive (29%) were mainly accountable for the decrease in inequality in neonatal mortality.

CONCLUSION

Policy actions on improving households' economic status and maternal education, especially in rural areas, may have led to the reduction in neonatal mortality inequality in Iran.

Socioeconomic Status Index to Interpret Inequalities in Child Development

OBJECTIVE

There have been contradictory findings on the relationship between Socioeconomic Status (SES) and child development although SES is associated with child development outcomes. The present study intended to define the relationship between SES and child development in Tehran kindergartens, Iran.

MATERIALS & METHODS

This cross-sectional survey studied 1036 children aged 36-60 month, in different kindergartens in Tehran City, Iran, in 2014-2015. The principal factor analysis (PFA) model was employed to construct SES indices. The constructed SES variable was employed as an independent variable in logistic regression model to evaluate its role in developmental delay as a dependent variable.

RESULTS

The relationship between SES and developmental delay was significant at P=0.003. SES proved to have a significant (P<0.05) impact on developmental delay, both as an independent variable and after controlling risk factors.

CONCLUSION

There should be more emphasis on developmental monitoring and appropriate intervention programs for children to give them higher chance of having a more productive life.

Contextualizing urban living as a determinant of women's health in Jakarta, Indonesia

Big cities can offer great opportunities for women to have a better life. At the same time, however, the physical and social environment in cities can negatively affect their health. We conducted focus groups with 24 women (aged 18-72 years) living in Jakarta, Indonesia from October to November 2014. Our aim was to elicit women's experiences of living in Jakarta, including their health and accessing health care. The most frequent health problems reported by women in this study were hypertension and arthritis. Women often gave priority to their family, particularly their children, over themselves and their own health. Discussants also thought that the city's physical and social conditions could affect their health, and that women were more prone to feel stress than men. The results of this study highlight the importance of addressing social determinants of health across the life course, including gender, to improve women's health status. Moreover, multi-sectoral collaboration at the municipal and national level is needed for urban planning to create better living conditions for women in the cities.

Meddling with middle modalities: a decomposition approach to mental health inequalities between intersectional gender and economic middle groups in northern Sweden

BACKGROUND

Intersectionality has received increased interest within population health research in recent years, as a concept and framework to understand entangled dimensions of health inequalities, such as gender and socioeconomic inequalities in health. However, little attention has been paid to the intersectional middle groups, referring to those occupying positions of mixed advantage and disadvantage.

OBJECTIVE

This article aimed to 1) examine mental health inequalities between intersectional groups reflecting structural positions of gender and economic affluence and 2) decompose any observed health inequalities, among middle groups, into contributions from experiences and conditions representing processes of privilege and oppression.

DESIGN

Participants (N=25,585) came from the cross-sectional 'Health on Equal Terms' survey covering 16- to 84-year-olds in the four northernmost counties of Sweden. Six intersectional positions were constructed from gender (woman vs. men) and tertiles (low vs. medium vs. high) of disposable income. Mental health was measured through the General Health Questionnaire-12. Explanatory variables covered areas of material conditions, job relations, violence, domestic burden, and healthcare contacts. Analysis of variance (Aim 1) and Blinder-Oaxaca decomposition analysis (Aim 2) were used.

RESULTS

Significant mental health inequalities were found between dominant (high-income women and middle-income men) and subordinate (middle-income women and low-income men) middle groups. The health inequalities between adjacent middle groups were mostly explained by violence (mid-income women vs. men comparison); material conditions (mid- vs. low-income men comparison); and material needs, job relations, and unmet medical needs (high- vs. mid-income women comparison).

CONCLUSIONS

The study suggests complex processes whereby dominant middle groups in the intersectional space of economic affluence and gender can leverage strategic resources to gain mental health advantage relative to subordinate middle groups.

Decomposing Educational Inequalities in Child Mortality: A Temporal Trend Analysis of Access to Water and Sanitation in Peru

Previous studies of inequality in health and mortality have largely focused on income-based inequality. Maternal education plays an important role in determining access to water and sanitation, and inequalities in child mortality arising due to differential access, especially in low- and middle-income countries such as Peru. This article aims to explain education-related inequalities in child mortality in Peru using a regression-based decomposition of the concentration index of child mortality. The analysis combines a concentration index created along a cumulative distribution of the Demographic and Health Surveys sample ranked according to maternal education, and decomposition measures the contribution of water and sanitation to educational inequalities in child mortality. We observed a large education-related inequality in child mortality and access to water and sanitation. There is a need for programs and policies in child health to focus on ensuring equity and to consider the educational stratification of the population to target the most disadvantaged segments of the population.

Socio-economic inequity in HIV testing in Malawi

Background

Human immunodeficiency virus (HIV) is a significant contributor to Malawi's burden of disease. Despite a number of studies describing socio-economic differences in HIV prevalence, there is a paucity of evidence on socio-economic inequity in HIV testing in Malawi.

Objective

To assess horizontal inequity (HI) in HIV testing in Malawi.

Design

Data from the Demographic and Health Surveys (DHSs) 2004 and 2010 in Malawi are used for the analysis. The sample size for DHS 2004 was 14,571 (women =11,362 and men=3,209), and for DHS 2010 it was 29,830 (women=22,716 and men=7,114). The concentration index is used to quantify the amount of socio-economic-related inequality in HIV testing. The inequality is a primary method in this study. Corrected need, a further adjustment of the standard decomposition index, was calculated. Standard HI was compared with corrected need-adjusted inequity. Variables used to measure health need include symptoms of sexually transmitted infections. Non-need variables include wealth, education, literacy and marital status.

Results

Between 2004 and 2010, the proportion of the population ever tested for HIV increased from 15 to 75% among women and from 16 to 54% among men. The need for HIV testing among men was concentrated among the relatively wealthy in 2004, but the need was more equitably distributed in 2010. Standard HI was 0.152 in 2004 and 0.008 in 2010 among women, and 0.186 in 2004 and 0.04 in 2010 among men. Rural–urban inequity also fell in this period, but HIV testing remained pro-rich among rural men (HI 0.041). The main social contributors to inequity in HIV testing were wealth in 2004 and education in 2010.

Conclusions

Inequity in HIV testing in Malawi decreased between 2004 and 2010. This may be due to the increased support to HIV testing by global donors over this period.

Association of socioeconomic status with psychiatric problems and violent behaviours in a nationally representative sample of Iranian children and adolescents: the CASPIAN-IV study

OBJECTIVES

The aim of the present study was to evaluate the association between socioeconomic status (SES) and psychiatric problems and violent behaviours in a nationally representative sample of Iranian children and adolescents, based on nationwide surveillance programme data, 2011-2012.

METHODS

Overall, 14 880 students, aged 6-18 years, were selected using a multistage cluster sampling method from rural and urban areas of 30 provinces in Iran. SES was estimated based on a main summarised component, extracted from principle component analysis of family assets and parents' jobs and education. For statistical analysis, SES was classified as 'low', 'middle' and 'high'. The WHO-Global School Based Student Health Survey (WHO-GSHS) questionnaire was used to assess psychiatric problems and violent behaviours.

RESULTS

In total, 13 486 students (participation rate 90.6%) completed the study: 50.8% were boys and 75.6% were urban residents, with a mean age of 12.47±3.36 years. In the multivariate model, the ORs of depression, anxiety, feeling worthless, anger, insomnia, confusion and physical fights were lower in students with high SES compared with those with low SES (p<0.05) but physical fights was lower in the high SES group than in the low SES group (p<0.05). No significant relationship was documented between SES and other variables, including getting worried, history of bullying and being victimised.

CONCLUSIONS

Children and adolescents with low SES were at higher risk for psychiatric problems and violent behaviours. Mental health policies and public interventional strategies should be considered at the public level, notably for low SES families.

A general method for decomposing the causes of socioeconomic inequality in health

We introduce a general decomposition method applicable to all forms of bivariate rank dependent indices of socioeconomic inequality in health, including the concentration index. The technique is based on recentered influence function regression and requires only the application of OLS to a transformed variable with similar interpretation. Our method requires few identifying assumptions to yield valid estimates in most common empirical applications, unlike current methods favoured in the literature. Using the Swedish Twin Registry and a within twin pair fixed effects identification strategy, our new method finds no evidence of a causal effect of education on income-related health inequality.

Psychosocial determinants of dental service utilization among adults: Results from a population-based survey (Urban HEART-2) in Tehran, Iran

OBJECTIVES

To evaluate the association between dental service utilization and mental health in an adult population in the context of the socioeconomic status of the participants.

SUBJECTS AND METHODS

Multi-stage cluster random sampling was performed in Tehran, Iran, in 2011. Data were collected on dental service utilization, barriers of dental visit, self-perceived oral health, mental health, age, gender, education, and wealth status. The complex sample analysis method in SPSS and the survey data analysis menu in STATA were employed for statistical evaluation.

RESULTS

Of 20,320 participants, 25-36% suffered from disorders in at least one of the domains of somatization, anxiety, social dysfunction, and depression. Only 56% of the participants visited a dentist at least once during the last year. The main barriers to a dental visit were "no perceived need" and "high costs." Females, the richest participants, subjects aged 25-64-year-old, and those with poor self-perceived oral health, mental health disorders, and higher education had more visits. The participants who perceived the need but did not visit a dentist due to some reasons mostly comprised females, those aged 25-44-year-old, those with a poor perceived oral health, disordered people in all domains of mental health, and poorer participants.

CONCLUSION

Dental service utilization was influenced by socioeconomic factors and the mental health status of the adult population after controlling for multiple confounders. Reducing financial hardship and providing health education on the importance of preventive visits may decrease barriers to regular visits in countries with developing oral health systems.