Intersectional socioeconomic disparities in continuous smoking through pregnancy among pre-pregnant smokers in Sweden between 2006 and 2016.

BACKGROUND: While well-established associations exist between socioeconomic conditions and smoking during pregnancy (SDP), less is known about social disparities in the risk of continuous SDP. Intersectional analyses that consider multiple social factors simultaneously can offer valuable insight for planning smoking cessation interventions. METHODS: We include all 146,222 pregnancies in Sweden between 2006 and 2016 where the mother smoked at three months before pregnancy. The outcome was continuous SDP defined as self-reported smoking in the third trimester. Exposures were age, education, migration status and civil status. We examined all exposures in a mutually adjusted unidimensional analysis and in an intersectional model including 36 possible combinations. We present ORs with 95% Confidence Intervals, and the Area Under the Curve (AUC) as a measure of discriminatory accuracy (DA). RESULTS: In our study, education status was the factor most strongly associated to continuous SDP among women who smoked at three months before pregnancy. In the unidimensional analysis women with low and middle education had ORs for continuous SDP of 6.92 (95%CI 6.63-7.22) and 3.06 (95%CI 2.94-3.18) respectively compared to women with high education. In the intersectional analysis, odds of continuous SDP were 17.50 (95%CI 14.56-21.03) for married women born in Sweden aged ≥ 35 years with low education, compared to the reference group of married women born in Sweden aged 25-34 with high education. AUC-values were 0.658 and 0.660 for the unidimensional and intersectional models, respectively. CONCLUSION: The unidimensional and intersectional analyses showed that low education status increases odds of continuous SDP but that in isolation education status is insufficient to identify the women at highest odds of continuous SDP. Interventions targeted to social groups should be preceded by intersectional analyses but further research is needed before recommending intensified smoking cessation to specific social groups.

Prevalence of obesity and related factors in schoolchildren aged 3 to 4 years.

OBJECTIVE: To describe the prevalence of obesity and analyse possible differences in it according to sociodemographic characteristics, diet, physical activity, screen use and family perception of the weight and dietary habits of schoolchildren aged 3 to 4 years in Barcelona. METHODS: We conducted a cross-sectional study in a representative sample of schools selected based on the socioeconomic status (SES) of the corresponding neighbourhood and school ownership. We selected 101 schools in Barcelona and recruited pupils aged 3 to 4 years during the 2016-17 academic year (n = 2936 children). Anthropometric measurements were taken in each participant. Family members completed a questionnaire on eating habits, physical activity, sleeping hours, screen use and the family's perception of the child's weight and diet. The primary variable was the body mass index (BMI) for age and sex, subsequently categorised as normal weight, overweight or obese. RESULTS: Approximately 7.0% of girls and 7.1% of boys aged 3 to 4 years presented obesity. The prevalence of obesity (8.3%) was higher in neighbourhoods of lower SES compared to those of higher SES (5.2%; p = .004). Parents of children with obesity reported that the child had some excess weight or excess weight in 46.9% of cases, 3.9% indicated the child's weight was appropriate and 0.9% that the child was a little underweight or underweight (p < .001). DISCUSSION: The prevalence of obesity in children aged 3 to 4 years is high. There are social and geographical inequalities, and obesity was more prevalent in areas of lower SES. A large percentage of the families of children with obesity do not consider that the child's weight is excessive.

Demographic, socioeconomic and health determinants of depressive symptoms in adults 50 years and older from Mexico: a secondary data longitudinal analysis from the Mexican Health and Aging Study.

BACKGROUND: Depression in ageing adults is a public health problem. Worldwide studies have identified social and health risk factors for depressive symptoms. However, little is known about their longitudinal determinants in Mexico. OBJECTIVES AND SETTING: To find the prevalence of depressive symptoms and their longitudinal individual and contextual risk factors in Mexican adults aged 50 and older. DESIGN: Secondary data of 6460 persons aged 50 years and older from the Mexican Health and Aging Study were analysed using a 'between-within' panel data analysis approach. RESULTS: The prevalence of depressive symptoms increased from 35% in 2003 to 38% in 2015. The significantly longitudinal factors associated with these symptoms were getting older (OR 1.02, 95% CI 1.01 to 1.03), being a woman (OR 2.39, 95% CI 2.16 to 2.64), less time spent in formal education (0 years and less than 6 years OR 1.52, 95% CI 1.32 to 1.75 and OR 1.33, 95% CI 1.19 to 1.50, respectively), lower net worth (OR 1.13, 95% CI 1.08 to 1.17), being recently unemployed (OR 1.25, 95% CI 1.10 to 1.25), increased (OR 1.17, 95% CI 1.10 to 1.25) or increasing number (OR 1.23, 95% CI 1.15 to 1.31) of chronic conditions, poor (OR 4.68, 95% CI 4.26 to 5.15) or worsened (OR 1.71, 95% CI 1.61 to 1.81) self-rated health and having impairments on instrumental activities of daily living (IADLs) (OR 2.94 95% CI 2.35 to 3.67) or a new IADL impairment (OR 1.67, 95% CI 1.48 to 1.89), as well as having impairments on ADLs (OR 1.51, 95% CI 1.23 to 1.86) or a new ADL impairment (OR 1.34, 95% CI 1.21 to 1.48). CONCLUSIONS: The prevalence of depressive symptoms in Mexican adults aged 50 and older is high. Our findings show that they are longitudinally associated with the individual's demographic, socioeconomic, health and disability characteristics. Efforts in public policy should focus on preventing chronic conditions and disability, as well as fighting inequalities to reduce the prevalence of depressive symptoms.

What role do socioeconomic and clinical factors play in disease activity states in rheumatoid arthritis? Data from a large UK early inflammatory arthritis audit.

BACKGROUND: Persistently active rheumatoid arthritis (pactiveRA) may be due to the interplay between biological and non-biological factors. The role of socioeconomic factors remains unclear. OBJECTIVES: To explore which biological and non-biological factors associate with pactiveRA. METHODS: Adults with early RA in the National Early Inflammatory Arthritis Audit, recruited from May 2018 to October 2022, were included if having pactiveRA or persistently low RA (plowRA). The pactiveRA was defined as three consecutive Disease Activity Score-28 joints (DAS28) of >3.2 at baseline, 3 and 12 months. The plowRA was defined as DAS28 ≤3.2 at 3 and 12 months. Stepwise forward logistic regression was used to explore associations with pactiveRA (outcome). Age and gender were included a priori, with socioeconomic factors and comorbidities as exposure variables. RESULTS: 682 patients with pactiveRA and 1026 plowRA were included. Compared with plowRA, patients with pactiveRA were younger (58, IQR: 49-67) versus (62, IQR: 52-72), and included more women (69% vs 59%). The pactiveRA was associated with worse scores in patient-reported outcomes at baseline, and anxiety and depression screens. Overall, there was clear social patterning in pactiveRA, with age-by-gender interaction. Logistic regression indicated age, gender, social deprivation and previous or current smoking, were independently associated with pactiveRA, after controlling for disease severity markers (seropositivity). Depression, lung disease, gastric ulcers and baseline corticosteroid use, were also associated with pactiveRA (p<0.05 for all). CONCLUSION: Socioeconomic factors and deprivation were associated with pactiveRA, independent of clinical and disease characteristics. Identifying 'adverse' socioeconomic drivers of pactiveRA can help tailor interventions according to individual need.

Mental health among women and girls of diverse backgrounds in Canada before and during the COVID-19 pandemic: An intersectional analysis.

Background: Mental health disparity is associated with diverse characteristics, such as gender, socioeconomic status, Indigenous identity, immigrant status, race, disability, and sexual orientation. However, intersectional studies on women's mental health have been rare, particularly during the COVID-19 pandemic period. Methods: Using data from two cycles of the Canadian Community Health Survey (2019 annual data and data from September to December 2020), self-reported mental health outcomes before the COVID-19 pandemic (sample size was 64,880) and during the second wave of the pandemic in the fall of 2020 (sample size of 27,246) were analyzed. Results: After sociodemographic factors were controlled for, women and girls had higher odds of poorer self-perceived mental health and worsened mental health compared with before the COVID-19 pandemic than men and boys. Compared with 2019, the gender gap in negative self-perceived mental health increased during the pandemic. The number and type of intersections of specific socioeconomic characteristics also had an impact on mental health outcomes. During the pandemic, women and girls with the following characteristics were more likely to report low self-perceived mental health, compared with women and girls with no intersections: those with a disability (7.8 times); or who are lesbian, gay, or bisexual or have another sexual orientation than heterosexual (5.6); or who are Indigenous (3.6). Interpretation: The intersections of gender and other sociodemographic characteristics increased the odds of negative self-perceived mental health.

The impact of a breast cancer diagnosis on marital outcomes and factors associated with divorce and separation.

Objective: To analyze marital outcomes, divorce or separation, and its association with demographic, socioeconomic, and clinicopathological factors among breast cancer (BC) survivors after 2-years of diagnosis. Methods: We performed a retrospective analysis of marital status at baseline and at years 1 and 2 of follow-up of women aged ≥ 18 years diagnosed with invasive BC participating in the AMAZONA III (GBECAM0115) study. The BC diagnosis occurred between January 2016 and March 2018 at 23 institutions in Brazil. Results: Of the 2974 women enrolled in AMAZONA III, 599 were married or living under common law at baseline. Divorce or separation occurred in 35 (5.8%) patients at 2 years of follow-up. In the multivariate analysis, public health insurance coverage was associated with a higher risk of marital status change (8.25% vs. 2.79%, RR 3.09, 95% CI 1.39 - 7.03, p = 0.007). Women who underwent mastectomy, adenomastectomy or skin-sparing mastectomy were associated with a higher risk of divorce or separation (8.1% vs. 4.49%, RR 1.97, 95 CI 1.04 - 3.72, p = 0.0366) than those who underwent breast-conserving surgery. Conclusion: Women covered by the public health system and those who underwent mastectomy, adenomastectomy or skin-sparing mastectomy were associated with a higher risk of divorce or separation. This evidence further supports the idea that long-term marital stability is associated with a complex interplay between socioeconomic conditions and stressors, such as BC diagnosis and treatment. ClinicalTrials Registration: NCT02663973.

Social inequity in chiropractic utilisation - a cross-sectional study in Denmark, 2010 and 2017.

BACKGROUND: Inequity in healthcare utilisation refers to differences between groups that remain after adjustment for need for health care. To our knowledge, no previous studies have aimed to assess social inequity in chiropractic utilisation in a general population. Therefore, the objective of this study was to evaluate social inequity in chiropractic utilisation in the general Danish population adjusted for health status as a proxy of need for chiropractic care. METHODS: A population-based repeated cross-sectional study design was used based on the Danish National Health Survey in 2010 and 2017. Overall, we included 288,099 individuals aged 30 years or older in 2010 or 2017. For each individual, information on chiropractic utilisation, socioeconomic status, and health status as a proxy of need for chiropractic care was retrieved from nationwide registers using the unique personal identification number. Measures of health status included demographics, poor self-rated physical health, activity limitations, musculoskeletal pain, number of musculoskeletal conditions, and number of chronic diseases. We investigated social inequity in chiropractic utilisation (yes, no) using logistic regression adjusted for health status, stratified by sex and year. Three characteristics of socioeconomic status (educational level, employment status and income) were investigated. To further quantify the degree of social inequity in chiropractic utilisation, we estimated the concentration index of inequity for each of the three characteristics of socioeconomic status. RESULTS: We found significantly higher odds of chiropractic utilisation among individuals with short or medium/long education compared with individuals with elementary education, and among employed individuals compared with individuals who were unemployed, receiving disability pension or retired. Furthermore, the odds of chiropractic utilisation increased with higher income. The concentration index indicated social inequity in chiropractic utilisation in favour of individuals with higher socioeconomic status, with income and employment status contributing more to inequity than educational level. CONCLUSION: The study demonstrated social inequity in chiropractic utilisation in Denmark beyond differences in health status as a proxy of need for chiropractic care in the general population. The results suggest that new strategies are required if equal treatment for equal need is the goal.

Temporal dynamics of socioeconomic inequalities in depressive and anxiety symptoms during the COVID-19 pandemic: a scoping review.

Background: The existence of socioeconomic inequalities in the prevalence of symptoms of depression and anxiety is widely acknowledged, and individuals from lower socioeconomic backgrounds tend to exhibit higher rates of symptoms. However, the direction in which the COVID-19 pandemic has influenced these disparities remains uncertain. We therefore aimed to systematically outline the available evidence on the temporal dynamics of socioeconomic inequalities in symptoms related to depression and anxiety during the COVID-19 pandemic across high-income countries. Methods: A scoping review was conducted by searching the databases Embase, Scopus and PsycINFO. According to pre-defined eligibility criteria, two reviewers independently screened titles and abstracts as well as full texts of the compiled records. Data from the included studies were extracted using a standardised data-extraction form and analysed numerically and narratively. The scoping review followed the PRISMA-ScR guidelines. Results: A total of 49 studies comprising 149 analyses of socioeconomic indicators in relation to symptoms of depression and anxiety were included. Despite heterogeneous study designs and results, there was a tendency of increasing (40.9%; n = 61) or persistent (38.2%; n = 57) inequality trends to the detriment of those in socially more disadvantaged positions. Increasing inequalities were most pronounced when income was used as a socioeconomic indicator. Groups with lower socioeconomic status appeared most vulnerable in the initial phase of the COVID-19 pandemic. Throughout the pandemic, dynamics were diverse, with persistent trends most frequently reported. Conclusion: Overall, to the detriment of those with lower socioeconomic status, mental-health inequalities persisted or increased in most analyses. Continually monitoring socioeconomic inequalities over time is crucial, since this makes it possible to adapt prevention and intervention strategies to specific pandemic phases. Interventions targeting job security, income security and educational attainment could reduce mental-health inequalities. The results can contribute to preparedness plans for future pandemics and crises.

Associations Between Sociodemographic Characteristics, eHealth Literacy, and Health-Promoting Lifestyle Among University Students in Taipei: Cross-Sectional Validation Study of the Chinese Version of the eHealth Literacy Scale.

BACKGROUND: The popularization of the internet and rapid development of mobile devices have led to an increased inclination and opportunities to obtain health-related information online. The eHealth Literacy Scale (eHEALS), widely used for measuring eHealth literacy, assesses an individual's ability to search, understand, appraise, and use eHealth information. However, the Chinese version of the eHEALS multiple-factor model remains to be validated, and the correlation between eHEALS and the health-promoting lifestyle profile (HPLP) among university students is rarely explored in Taiwan. OBJECTIVE: This study aimed to examine the fit, validity, and reliability of the Chinese eHEALS multiple-factor model and to clarify the predictive effects of eHEALS on the HPLP among university students. METHODS: University students in Taipei, the capital of Taiwan, were recruited, and 406 valid questionnaires including sociodemographic characteristics, eHEALS, and HPLP responses were collected. Confirmatory factor analysis was performed to validate the Chinese eHEALS. Independent sample t test, 1-way ANOVA, and multiple linear regression analyses were conducted to examine the relationship between sociodemographic variables and the HPLP. Pearson product-moment correlation and binary logistic regression analyses were performed to ascertain the predictive effects of eHEALS on the HPLP. RESULTS: The Chinese eHEALS exhibited an optimal fit when delineated into the search, usage, and evaluation 3-factor model (comparative fit index=0.991, Tucker-Lewis index=0.984, root mean square error of approximation=0.062), and its validity and reliability were confirmed. The mean eHEALS score of university students was 3.17/4.00 (SD 0.48) points, and the score for the evaluation subscale was the lowest (mean 3.08, SD 0.56 points). Furthermore, there were significant sex, institution orientation, daily reading time, daily screen time, primary information channel, and perceived health status differences in the HPLP: male participants (t404=2.346, P=.02), participants attending general university (t404=2.564, P=.01), those reading ≥1 hour daily (F2,403=17.618, P<.001), those spending <3 hours on mobile devices or computers daily (F2,403=7.148, P<.001), those acquiring information from others (t404=3.892, P<.001), and those with a good perceived health status (F2,403=24.366, P<.001) had a significantly higher score. After adjusting for sociodemographic variables, the eHEALS score remained an independent predictor of the HPLP. Compared to students with relatively high eHEALS scores, those with relatively low eHEALS scores had a 3.37 times risk of a negative HPLP (adjusted odds ratio [OR]=3.37, 95% CI 1.49-7.61), which could explain 14.7%-24.4% of the variance (Cox-Snell R2=0.147, Nagelkerke R2=0.244, P=.004). CONCLUSIONS: There is room for improvement in eHealth literacy among university students in Taipei. eHEALS may be used to screen students who require HPLP improvement, thereby providing appropriate eHealth literacy training programs, particularly those targeting evaluation literacy. Additionally, the 3-factor model of the Chinese eHEALS used in this study results in more definite scale content, thus increasing the practicality and applicability of this scale in health-promoting studies.

Assessment of socio-demographic characteristics and social status of patients with negative symptoms in schizophrenia at different stages of the disease.

OBJECTIVE: Aim: To determine the features of socio-demographic characteristics of patients with negative symptoms of schizophrenia. PATIENTS AND METHODS: Materials and Methods: 252 patients with negative symptoms of schizophrenia took part in the study: 83 patients with the first episode of schizophrenia, 88 patients with schizophrenia in a state of exacerbation, and 81 patients with schizophrenia in a state of remission. During the research, a comprehensive approach was used, which consisted in the use of clinical-psychopathological, clinical-anamnestic and statistical research methods. RESULTS: Results: Socio-demographic characteristics of patients with negative symptoms in schizophrenia were established. Among patients with the first episode of schizophrenia, the majority were of 20-29 years old, mostly with secondary education, unmarried, with a mental labor, with low and average levels of a material well-being, poor and satisfactory living conditions. Among patients with negative symptoms of schizophrenia in an exacerbation state, the majority was of persons of 30-49 years old, with a special secondary education, mostly divorced, with a disability, with a low and extremely low level of material well-being, with poor and very poor living conditions prevailed. Among patients with negative symptoms of schizophrenia in a state of remission, there was a predominance of persons of 30-39 and 50-60 years old, with a special secondary education, divorced, mainly with a physical labor, with a low and average level of material well-being and poor living conditions. CONCLUSION: Conclusions: The obtained data can be used to establish diagnostic criteria for patients with negative symptoms in schizophrenia, depending on the dynamics of the disease.

The abortion trend after the pronatalist turn of population policies in Iran: a systematic review from 2005 to 2022.

OBJECTIVE: Given Iran's recent shift towards pronatalist population policies, concerns have arisen regarding the potential increase in abortion rates. This review study examines the trends of (medical), intentional (illegal), and spontaneous abortions in Iran over the past two decades, as well as the factors that have contributed to these trends. METHODS: This paper reviewed research articles published between 2005 and 2022 on abortion in Iran. The study employed the PRISMA checklist for systematic reviews. Articles were searched from international (Google Scholar, PubMed, Science Direct, and Web of Science) and national databases (Magiran, Medlib, SID). Once the eligibility criteria were applied, 42 records were included from the initial 349 records. RESULTS: Abortion is influenced by a variety of socioeconomic and cultural factors and the availability of family planning services. Factors that contribute to unintended pregnancy include attitudes toward abortion, knowledge about reproductive health, access to reproductive health services, and fertility desires, among others. In addition to health and medical factors, consanguineous marriage plays an important role in spontaneous and therapeutic abortion. A higher number of illegal abortions were reported by women from more privileged socioeconomic classes. In comparison, a higher number of medical and spontaneous abortions were reported by women from less privileged socioeconomic classes. CONCLUSION: Iranian policymakers are concerned about the declining fertility rate and have turned to pronatalist policies. From a demographic standpoint, this seems to be a reasonable approach. However, the new population policies, particularly, the Family Protection and Young Population Law, along with creating limitations in access to reproductive health services and prenatal screening tests as well as stricter abortion law could potentially lead to an increase in various types of abortions and their associated consequences.

Risk factors for persistent fatal opioid-involved overdose clusters in Massachusetts 2011-2021: a spatial statistical analysis with socio-economic, accessibility, and prescription factors.

BACKGROUND: Fatal opioid-involved overdose rates increased precipitously from 5.0 per 100,000 population to 33.5 in Massachusetts between 1999 and 2022. METHODS: We used spatial rate smoothing techniques to identify persistent opioid overdose-involved fatality clusters at the ZIP Code Tabulation Area (ZCTA) level. Rate smoothing techniques were employed to identify locations of high fatal opioid overdose rates where population counts were low. In Massachusetts, this included areas with both sparse data and low population density. We used Local Indicators of Spatial Association (LISA) cluster analyses with the raw incidence rates, and the Empirical Bayes smoothed rates to identify clusters from 2011 to 2021. We also estimated Empirical Bayes LISA cluster estimates to identify clusters during the same period. We constructed measures of the socio-built environment and potentially inappropriate prescribing using principal components analysis. The resulting measures were used as covariates in Conditional Autoregressive Bayesian models that acknowledge spatial autocorrelation to predict both, if a ZCTA was part of an opioid-involved cluster for fatal overdose rates, as well as the number of times that it was part of a cluster of high incidence rates. RESULTS: LISA clusters for smoothed data were able to identify whether a ZCTA was part of a opioid involved fatality incidence cluster earlier in the study period, when compared to LISA clusters based on raw rates. PCA helped in identifying unique socio-environmental factors, such as minoritized populations and poverty, potentially inappropriate prescribing, access to amenities, and rurality by combining socioeconomic, built environment and prescription variables that were highly correlated with each other. In all models except for those that used raw rates to estimate whether a ZCTA was part of a high fatality cluster, opioid overdose fatality clusters in Massachusetts had high percentages of Black and Hispanic residents, and households experiencing poverty. The models that were fitted on Empirical Bayes LISA identified this phenomenon earlier in the study period than the raw rate LISA. However, all the models identified minoritized populations and poverty as significant factors in predicting the persistence of a ZCTA being part of a high opioid overdose cluster during this time period. CONCLUSION: Conducting spatially robust analyses may help inform policies to identify community-level risks for opioid-involved overdose deaths sooner than depending on raw incidence rates alone. The results can help inform policy makers and planners about locations of persistent risk.

Socioeconomic disparities in changes to preterm birth and stillbirth rates during the first year of the COVID-19 pandemic: a study of 21 European countries.

BACKGROUND: Despite concerns about worsening pregnancy outcomes resulting from healthcare restrictions, economic difficulties and increased stress during the COVID-19 pandemic, preterm birth (PTB) rates declined in some countries in 2020, while stillbirth rates appeared stable. Like other shocks, the pandemic may have exacerbated existing socioeconomic disparities in pregnancy, but this remains to be established. Our objective was to investigate changes in PTB and stillbirth by socioeconomic status (SES) in European countries. METHODS: The Euro-Peristat network implemented this study within the Population Health Information Research Infrastructure (PHIRI) project. A common data model was developed to collect aggregated tables from routine birth data for 2015-2020. SES was based on mother's educational level or area-level deprivation/maternal occupation if education was unavailable and harmonized into low, medium and high SES. Country-specific relative risks (RRs) of PTB and stillbirth for March to December 2020, adjusted for linear trends from 2015 to 2019, by SES group were pooled using random effects meta-analysis. RESULTS: Twenty-one countries provided data on perinatal outcomes by SES. PTB declined by an average 4% in 2020 {pooled RR: 0.96 [95% confidence intervals (CIs): 0.94-0.97]} with similar estimates across all SES groups. Stillbirths rose by 5% [RR: 1.05 (95% CI: 0.99-1.10)], with increases of between 3 and 6% across the three SES groups, with overlapping confidence limits. CONCLUSIONS: PTB decreases were similar regardless of SES group, while stillbirth rates rose without marked differences between groups.

The trend of the quality of cause-of-death data and its association with socio-economic indicators in Serbia in the period 2005-19.

This study aims to evaluate the temporal trend in the quality of cause-of-death data and garbage code profiles and to determine its association with socio-economic status in Serbia. A longitudinal study was assessed using data from mortality registers from 2005 to 2019. Computer application Analysis of Causes of National Deaths for Action (ANACONDA) calculates the distribution of garbage codes by severity and composite quality indicator: Vital Statistics Performance Index for Quality (VSPI(Q)). A relationship between VSPI(Q) and country development was estimated by analysing two socio-economic indicators: the Socio-demographic Index and the Human Development Index (HDI). Serbia indicates progress in strengthening cause-of-death statistics. The steady upward trend of the VSPI(Q) index has risen from 55.6 (medium quality) to 70.2 (high quality) over the examined years. Significant reduction of 'Insufficiently specified causes with limited impact' (Level 4) and an increase in the trend of 'High-impact garbage codes' (Levels 1 to 3) were evident. Decreased deaths of no policy value (annual percentage change of -1.41%) have manifested since 2014. A strong positive association between VSPI(Q) and socio-economic indicators was assessed, where the HDI has shown a stronger association with VSPI(Q). Improved socio-economic conditions on the national level are followed by enhanced cause-of-death data quality. Upcoming actions to improve quality should be directed at high-impact garbage codes. The study underlines the need to prioritise the education and training of physicians with a crucial role in death certification to overcome many cause-of-death quality issues identified in this assessment.

Early school leaving in Spain: a longitudinal analysis by gender.

Spain is one of the eight EU-27 countries that failed to reduce early school leaving (ESL) below 10% in 2020, and now faces the challenge of achieving a rate below 9% by 2030. The determinants of this phenomenon are usually studied using cross-sectional data at the micro level and without differentiation by gender. In this study, we analyse it for the first time for Spain using panel data (between 2002 and 2020), taking into account the high regional inequalities at the macroeconomic level and the masculinisation of the phenomenon. The results show a positive relationship between ESL and socio-economic variables such as the adolescent fertility rate, immigration, unemployment or the weight of the industrial and construction sectors in the regional economy, with significant gender differences that invite us to discuss educational policies. Surprisingly, youth unemployment has only small but significant impact on female ESL.

Socio-economic differences in remote schoolwork during the COVID-19 pandemic: a trend analysis of the 2020 and 2021 school-closure periods using the UK Understanding Society data.

In the United Kingdom, the COVID-19 pandemic in 2020 and 2021 led to two extended periods of school closures. Research on inequality of learning opportunity as a result of these closures used a single indicator of socio-economic status, neglecting important determinants of remote learning. Using data from the Understanding Society (USoc) COVID-19 surveys we analysed the levels and differentials in the uptake of remote schoolwork using parental social class, information technology (IT) availability in the home and parental working patterns to capture the distinct resources that families needed to complete remote schoolwork. This is also the first study to assess the extent to which the differentials between socio-economic groups changed between the first and second school-closure periods caused by the pandemic. We found that each of the three factors showed an independent association with the volume of remote schoolwork and that their effect was magnified by their combination. Children in families where the main parent was in an upper-class occupation, where both parents worked from home and where the children had their own IT spent more time doing remote schoolwork than other groups, particularly compared to children of single parents who work from home, children in families where the main parent was in a working-class occupation, where the child had to share IT, and where the parents did not work regularly from home. The differentials between socio-economic groups in the uptake of schoolwork were found to be stable between the two school-closure periods.

Linked lives: intergenerational transmission of labour-market pathways between parent dyads and children.

While a vast number of studies confirm the transmission of labour-market disadvantages from one generation to the next, less is known about how parents' interconnected labour-market pathways co-evolve and shape the opportunities and obstacles for their children's future careers. This study uses a multidimensional view of intergenerational transmission by describing the most typical pathways of parents' occupational careers and assesses how these patterns are associated with their children's labour-market outcomes. Drawing on Swedish longitudinal register data, we used multichannel sequence analysis to follow a cohort of people born in 1985 (n = 72,409) and their parents across 26 years. We identified four parental earning models, differentiating between (1) dual earners with high wages, (2) dual earners with low-wage, (3) one-and-a-half-earners and (4) mother as the main breadwinner. Regression analysis shows strong intergenerational transmission among the most advantageous trajectories, with education as a key determinant for young people to become less dependent on family resources. This study stresses the importance of intra-couple perspectives in life course research to understand how inequalities are shaped and preserved across generations.

[Effect of socioeconomic status on life expectancy From the population to patients]. / Effet du statut socioéconomique sur l'espérance de vie. De la population aux patients.

Life expectancy exists along a social gradient, where those with a high socioeconomic status (SES) live longer. The effect of SES can be explained via behavioral, material, and psychosocial pathways, which can be modified through social and public health policies. The behavioral pathway states that harmful health behaviors, like smoking, are more common among those of lower SES. The material pathway states that SES give access to different health-beneficial resources, like safe housing or healthy food. Finally, the psychosocial pathway states that a low SES causes a lack of autonomy leading to chronic stress. Understanding how SES affects life expectancy has clinical implications and is important to reduce socioeconomic health inequalities at the population level.

L'espérance de vie suit un gradient social, les personnes avec statut socioéconomique (SSE) élevé vivant plus longtemps. L'effet du SSE sur l'espérance de vie peut être expliqué par des mécanismes comportementaux, matériels et psychosociaux, modifiables par des politiques sociales et de santé publique. Ainsi, les comportements délétères pour la santé, comme le tabagisme, sont plus fréquents chez les personnes ayant un SSE relativement bas. D'un point de vue matériel, le SSE détermine l'accès à des ressources comme un logement de bonne qualité ou une alimentation saine. Enfin, d'un point de vue psychosocial, il est associé notamment au stress chronique. Comprendre comment le SSE affecte l'espérance de vie a des implications cliniques et offre des pistes pour réduire les inégalités en matière de santé à l'échelle de la population.

Spatial Variation and Determinants of Inadequate Minimum Meal Frequency among Children Aged 6-23 Months in Ethiopia: Spatial and multilevel analysis using Ethiopian Mini Demographic and Health Survey (EMDHS) 2019.

Introduction: Minimum meal frequency is the number of times children eat in a day. Without adequate meal frequency, infants and young children are prone to malnutrition. There is little information on the spatial distribution and determinants of inadequate meal frequency at the national level. Therefore, we aimed to investigate the spatial distribution and determinants of inadequate meal frequency among young children in Ethiopia. Methods: The most recent Ethiopian demographic and health survey data was used. The analysis was conducted using a weighted sample of 1,610 children aged 6-23 months old. The Global Moran's I was estimated to assess the regional variation in minimum meal frequency. Further, a multivariable multilevel logistic regression model was fitted to identify factors associated with inadequate meal frequency. The AOR (adjusted odds ratio) at 95% CI (confidence interval) was computed to assess the strength and significance of the relationship between explanatory variables and the outcome variable. Factors with a p-value of <0.05 are declared statistically significant. Results: This study revealed that the prevalence of inadequate meal frequency was found to be 30.56% (95% CI: 28.33-32.88). We identified statistically significant clusters of high inadequate meal frequency, notably observed in Somalia, northern Amhara, the eastern part of southern nations and nationalities, and the southwestern Oromia regions. Child age, antenatal care (ANC) visit, marital status, and community level illiteracy were significant factors that were associated with inadequate meal frequency. Conclusion: According to the study findings, the proportion of inadequate meal frequency among young children in Ethiopia was higher and also distributed non-randomly across Ethiopian regions. As a result, policymakers and other concerned bodies should prioritize risky areas in designing intervention. Thus, special attention should be given to the Somalia region, the northern part of Amhara, the eastern part of Southern nations and nationalities, and southwestern Oromia.

The Impact of Air Pollution Controls on Health and Health Inequity Among Middle-Aged and Older Chinese: Evidence From Panel Data.

Objectives: We evaluated the long-term effects of air pollution controls on health and health inequity among Chinese >45 years of age. Methods: Data were derived from the China Health Aging and Retirement Longitudinal Survey and the China National Environmental Monitoring Centre. Decreases in PM2.5 and PM10 were scaled to measure air quality controls. We used a quasi-experimental design to estimate the impact of air quality controls on self-reported health and health inequity. Health disparities were estimated using the concentration index and the horizontal index. Results: Air pollution controls significantly improved self-reported health by 20% (OR 1.20, 95% CI, 1.02-1.42). The poorest group had a 40% (OR 1.41, 95% CI, 0.96-2.08) higher probability of having excellent self-reported health after air pollution controls. A pro-rich health inequity was observed, and the horizontal index decreased after air pollution controls. Conclusion: Air pollution controls have a long-term positive effect on health and health equity. The poorest population are the main beneficiaries of air pollution controls, which suggests policymakers should make efforts to reduce health inequity in air pollution controls.