Socioeconomic and geographic disparities of breast cancer incidence according to stage at diagnosis in France

PURPOSE

Low socioeconomic background (SB) has been associated with lower breast cancer (BC) incidence and higher BC mortality. One explanation of this paradox is the higher frequency of advanced BC observed in deprived women. However, it is still unclear if SB affects similarly BC incidence. This study investigated the link between SB and early/advanced BC incidence from Loire-Atlantique/Vendee Cancer registry data (France).

MATERIALS AND METHODS

Fourteen thousand three hundred fifty three women living in the geographic area covered by the registry and diagnosed with a primary BC in 2008-2015 were included. SB was approached by a combination of two ecological indexes (French European Deprivation Index and urban/rural residence place). Mixed effects logistic and Poisson regressions were used, respectively, to estimate the odds of advanced (stage ≥ II) BC and the ratio of incidence rates of early (stage 0-I) and advanced BC according to SB, overall and by age group (< 50, 50-74, ≥ 75).

RESULTS

Compared to women living in affluent-urban areas, women living in deprived-urban and deprived-rural areas had a higher proportion of advanced BC [respectively, OR = 1.11 (1.01-1.22), OR = 1.60 (1.25-2.06)] and lower overall (from - 6 to - 15%) and early (from - 9 to - 31%) BC incidences rates Advanced BC incidence rates were not influenced by SB. These patterns were similar in women under 75 years, especially in women living in deprived-rural areas. In the elderly, no association between SB and BC frequency/incidence rates by stage was found.

CONCLUSION

Although advanced BC was more frequent in women living in deprived and rural areas, SB did not influence advanced BC incidence. Therefore, differences observed in overall BC incidence according to SB were only due to higher incidence of early BC in affluent and urban areas. Future research should confirm these results in other French areas.

Association between multimorbidity and informal long-term care use in China: a nationwide cohort study

BACKGROUND

The impact of multimorbidity on long-term care (LTC) use is understudied, despite its well-documented negative effects on functional disabilities. The current study aims to assess the association between multimorbidity and informal LTC use in China. We also explored the socioeconomic and regional disparities.

METHODS

The study included 10,831 community-dwelling respondents aged 45 years and older from the China Health and Retirement Longitudinal Study in 2011, 2015, and 2018 for analysis. We used a two-part model with random effects to estimate the association between multimorbidity and informal LTC use. Heterogeneity of the association by socioeconomic position (education and income) and region was explored via a subgroup analysis. We further converted the change of informal LTC hours associated with multimorbidity into monetary value and calculated the 95% uncertainty interval (UI).

RESULTS

The reported prevalence of multimorbidity was 60·0% (95% CI: 58·9%, 61·2%) in 2018. We found multimorbidity was associated with an increased likelihood of receiving informal LTC (OR = 2·13; 95% CI: 1·97, 2·30) and more hours of informal LTC received (IRR = 1·20; 95% CI: 1·06, 1·37), ceteris paribus. Participants in the highest income quintile received more hours of informal LTC care (IRR = 1·62; 95% CI: 1·31, 1·99). The estimated monetary value of increased informal LTC hours among participants with multimorbidity was equivalent to 3·7% (95% UI: 2·2%, 5·4%) of China's GDP in 2018.

CONCLUSION

Our findings substantiate the threat of multimorbidity to LTC burden. It is imperative to strengthen LTC services provision, especially among older adults with multimorbidity and ensure equal access among those with lower income.

Socio-economic disparities in exposure to and endorsement of COVID-19 vaccine misinformation and the associations with vaccine hesitancy and vaccination

OBJECTIVES

We examined disparities in vaccine misinformation exposure and endorsement and the associations with vaccine hesitancy and vaccination uptake.

STUDY DESIGN

Population-based survey.

METHODS

A population-based survey was conducted on 5,002 Hong Kong adults oversampling low socio-economic status (SES, n = 2,200). Information on exposure (13 misinformation statements, total 0-13, median = 2), endorsement (13 statements, score 0-10, high scores indicate higher levels of endorsement, median = 5.75) of misinformation, vaccine hesitancy (14 items, score 1-5), and vaccination (two doses) were collected. Multivariable regression (adjusted β [aβ]) and Poisson regression (adjusted risk ratio [aRR]) adjusting for demographic characteristics were used to examine the associations of exposure to and endorsement of misinformation with vaccine hesitancy and vaccination.

RESULTS

A total of 71.8% of respondents had at least exposure to one vaccine misinformation, and 35.7% had a high level of endorsement (median or above). Respondents with lower SES had a lower exposure (≤2 statements, 57.1% vs 50.1%, P < 0.001) but a higher level of endorsement (36.6% vs 34.9%, P = 0.01) of misinformation. Overall, 72.9% had been vaccinated for two or more doses, with a lower proportion in respondents with lower SES (83.6% vs 61.1%; P < 0.001). Compared with no exposure to misinformation, high levels of exposure and endorsement were associated with vaccine hesitancy (aβ = 0.44, 95% confidence interval 0.40-0.48; aβ = 0.50, 0.47-0.54, respectively) and lower vaccination rates (aRR = 0.98, 0.97-0.99; aRR = 0.92, 0.88-0.96, respectively). Vaccine hesitancy mediated the associations of exposure (fully, 100%) and endorsement (partially, 73%) with vaccination uptake.

CONCLUSION

Endorsement of vaccine misinformation in respondents with lower SES was associated with low vaccination uptake.

The Impacts of the COVID-19 Pandemic on Therapy Utilization Among Racially/Ethnically and Socio-Economically Diverse Autistic Children

PURPOSE

The purpose of current study was to evaluate change in hours of Applied Behavior Analysis (ABA) therapy utilization for autistic children during the year prior to the COVID-19 pandemic, the first three months of the pandemic (crisis phase), and the following 9 months of the pandemic (mitigation phase). Additionally, this study aimed to evaluate if change in therapy utilization differed based on child race, ethnicity, and primary payer of services. Finally, we aimed to identify potential mechanisms of ABA therapy disruption by interpreting findings using an extended version of Donabedian's structure-process-outcome model.

METHODS

Retrospective clinical data on client demographics and therapy utilization (n = 283) were collected from ABA clinics in California and analyzed with four piecewise growth multi-level models.

RESULTS

We found that therapy utilization dropped during the first three months of the pandemic (-10.65 h/month; p < .001) and increased during the following 9 months (2.39 h/month; p < .001). Moderator analyses revelated that Asian, Non-Latinx and school-district funded children had significantly different trajectories of change in therapy utilization compared to white, non-Latinx participants and private insurance funded participants, respectively.

CONCLUSION

Findings suggest that utilization of ABA therapy was disrupted for a full year following the onset of the COVID-19 pandemic and that child race/ethnicity and primary payer influenced the degree to which autistic children were impacted by service disruption. These findings have implications for autistic children who lost therapy access during key developmental periods and for the ABA care delivery system.

COVID-19 and inequalities in educational achievement in Italy

We use longitudinal data from over 1.5 million Italian students to examine differences in the mathematics and reading achievement of students who completed primary and lower secondary school in 2020-21 (COVID cohort) and those who completed it in 2018-19 (non-COVID cohort). We also examine the evolution of inequalities by gender, socio-economic condition, and prior academic achievement during the pandemic. On average, the primary school COVID cohort experienced a small increase in reading achievement and a drop in mathematics achievement compared to the non-COVID cohort. The lower secondary school COVID cohort experienced a large reduction in mathematics achievement and a smaller reduction in reading achievement compared to the non-COVID cohort. Previously middle-achieving students suffered the most from the pandemic, while high achievers gained. Socio-economic inequalities in achievement remained stable for secondary school students and somewhat decreased for primary school students between the non-COVID and COVID cohorts. Gender disparities were broadly reduced across domains and school levels, except for primary school math.

Socio-economic disparities in patients who present to hospital for self-harm: patients' characteristics and problems in the Multicentre Study of Self-harm in England

BACKGROUND

We examined disparities in sociodemographic and clinical characteristics and in problems preceding self-harm across levels of socio-economic deprivation (SED) in persons who presented to hospital for self-harm.

METHOD

108,092 presentations to hospitals (by 57,306 individuals) following self-harm in the Multicentre Study of Self-harm in England (1/1/2000-31/12/2016). Information on area-level SED was based on the English Index of Multiple Deprivation. Information about patients' characteristics and problems was obtained from self-harm monitoring systems in the hospitals. We assessed the association of SED with the characteristics of interest using descriptive statistics.

RESULTS

Overall, 45 % of the presentations were by individuals from areas ranked nationally as most deprived, while 13 % of episodes were by individuals from the least deprived areas. Males and non-white ethnic groups were over-represented in the most deprived SED stratum. Previous self-harm was more prevalent in the two most deprived groups. Relationships difficulties with partners and other family members were reported more commonly by individuals from less socio-economically deprived areas, as were problems pertaining to finances and employment or studies. Problems in relationships with friends were more prevalent in the most deprived group relative to other groups.

LIMITATIONS

Information about problems which preceded self-harm was available only for patients who received psychosocial assessment.

CONCLUSIONS

Patients vary considerably across area-level SED strata in terms of gender, ethnicity, and the problems which preceded their self-harm. These findings emphasise the need to use an individualised approach to patients in understanding the unique circumstances which contribute to their self-harm and their specific care needs.

Health inequalities and income for people with spinal cord injury. A comparison between and within countries

Income and health are related in a bi-directional manner, whereby level of income affects health and vice versa. People in poorer households tend to experience worse health status and higher mortality rates than people in wealthier households, and, at the same time, having poor health could restrict workability leading to less income. This gap exists in almost every country, and it is more pronounced in more unequal countries and in vulnerable populations, such as people experiencing disability. The goal of this paper is to estimate the health-income gap in people with a Spinal Cord Injury (SCI), which is a chronic health condition often associated with multiple comorbidities that leads to disability. As data on mortality is inexistent, to estimate the health-income gap for persons with SCI, this paper uses two health outcomes: the number of years a person has lived with the injury, and a comorbidity index. Data was obtained from the International Spinal Cord Injury survey (InSCI), which is the first worldwide survey on community-dwelling persons with SCI. To compare across countries, the health outcomes were adjusted through hierarchical models, accounting for country fixed-effects, individual characteristics such as age and gender, and injury characteristics (cause, type and degree). Our results suggest that for the years living with SCI, the gap varies from 1 to 6 years between the lowest and the highest income groups. The main driver of such a difference is the cause of injury, where injuries caused by work accidents showed the biggest gap. Similarly, for the comorbidity index, persons with SCI in poorer deciles reported significantly more comorbidities, forty times more, than people in richer deciles.

Gender, racial, ethnic and socioeconomic disparities in palliative care encounters in ischemic strokes admissions

BACKGROUND

There is a scarcity of data on disparities in palliative care encounters in ischemic stroke patients. We have sought to answer these questions using the national inpatient database (NIS) data between 2002 and 2017. We aim to study gender, racial, regional, and socioeconomic disparities in palliative care encounters in ischemic stroke patients.

METHODS

We have analyzed the NIS data from January 2002 to December 2017 using the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM), and ICD-10-CM codes. Linear regression was used for trend analysis and multiple logistic regression was used for adjusted analysis.

RESULTS

A total of 9,542,169 discharge encounters with a diagnosis of ischemic stroke were recorded from 2002 to 2017. Out of these 412,394 (4.3%) had a palliative care (PC) encounter. The median age for patients with a PC encounter was 81 (Interquartile range [IQR 79-88]). PC encounters have shown a rapid increase over the years (from 0.5% in 2002 to 8.3% in 2017, p < 0.01). Adjusted multivariate analysis showed that African Americans (OR, 0.726 [95%CI, 0.716-0.736], p < 0.01), and Hispanics (OR, 0.738 [95%CI, 0.725-0.751]) were less likely to have a PC encounters. Females (OR, 1.18 7 [95% CI, 1.177-1.197], p < 0.01) were more likely to have PC encounters. Patients with better socio-economic status (OR, 1.034 [95%CI, 1.011-1.034], p < 0.01), having private insurance (OR, 1.562 [95%CI, 1.542-1.583], p < 0.01) and being in urban centers (OR, 1.815 [95%CI, 1.788-1.843], p < 0.01) were more likely to receive a PC encounter.

CONCLUSIONS

Significant racial, ethnic and socioeconomic disparities exist in PC encounters in ischemic stroke patients. The underlying reasons for this need to be explored further.

Health inequalities: Embodied evidence across biological layers

RATIONALE

Socioeconomic disparities have been documented in major non-communicable diseases and in their risk factors, such as obesity, hypertension, diabetes, smoking, physical inactivity, unhealthful diet and heavy drinking. However, a key research question has remained unanswered: is there a separate biological embodiment of socio-economic conditions underlying health disparities, additional and independent of those risk factors? As lifelong socioeconomic circumstances cannot be randomised, one way forward is the examination of different biological layers of evidence, including molecular changes.

METHOD

In this methodological paper we report the association of socio-economic disadvantage with (a) long-term health outcomes, before and after taking risk factors into account; (b) biological intermediaries that increase susceptibility to disease, such as childhood obesity; (c) intermediate circulating biomarkers and omic measurements (transcriptomics, DNA methylation, inflammatory proteins, allostatic load); and (d) immunity. In our Lifepath consortium, these analyses have been performed in several cohort studies, countries and contexts, and at different stages of the life course in up to 1.7 million subjects. The main goal is to test the assumption that each layer (death, functional outcomes, DNA, RNA, proteins, infections) is characterized by different types of bias and confounding, and that consistency across layers reinforces causality assessment.

RESULTS

The findings show consistent associations of social disparities with unfavourable health outcomes spanning inflammatory biomarkers, DNA or RNA-based markers, infection, indicators of physical functioning and mortality. Although each of these associations has a different set of confounders, a dose-response relationship is nevertheless consistently observed, thus showing the power of our multi-layered approach.

CONCLUSIONS

This new evidence supports biological embodiment of social disadvantage, in addition to the impact of known (mainly behavioural) risk factors for disease.

Malnutrition in all its forms and socio-economic disparities in children under 5 years of age and women of reproductive age in Peru

OBJECTIVE

To compare the distribution of malnutrition by socio-economic indicators (SEI) in Peruvian children under 5 years and women of reproductive age (WRA).

DESIGN

We analysed data from the National Demographic and Family Health Survey. WHO criteria were used to define malnutrition indicators (overweight/obesity combined (OW); wasting/underweight; stunting/short stature; anaemia). Linear combination test was used to compare the prevalence of malnutrition by SEI (wealth index as a proxy of socio-economic status (SES); education; ethnicity). Prevalence ratio (PR) was used to describe disparities and associations between malnutrition and SEI.

SETTING

Peru (2015).

PARTICIPANTS

Children (n 22 833) under 5 years and WRA (n 33 503; 5008 adolescents and 28 495 adults).

RESULTS

The most prevalent form of malnutrition was anaemia (32·0 %) in children and OW in adolescent and adult WRA (31·3 and 65·1 %, respectively). Adjusted models showed that stunting and anaemia were significantly lower among children with high SES (PR = 0·25, 0·67), high-educated mothers (PR = 0·26, 0·76) and higher in indigenous children (PR = 1·3, 1·2); conversely, OW was higher among those with high SES and high-educated mothers (PR = 1·8, 1·6) compared with their lowest counterparts. In WRA, stunting/short stature was lower among those with high SES, high education and higher in indigenous adult women. OW in adolescents and adults was higher in high SES (PR = 1·4, 1·1), lower in indigenous adult women (PR = 0·84) and lower in high-educated adult women (PR = 0·86).

CONCLUSIONS

In the studied population, the distribution of malnutrition was associated with SEI disparities. Effective policies that integrate actions to overcome the double burden of malnutrition and reduce disparities are needed.

Disparities of population exposed to flood hazards in the United States

This study integrates publicly available datasets to provide a county-based assessment of socio-economic disparities of population exposure to flood hazards in the United States. Statistical analyses were applied to reveal the national trends and local deviations from the trends. Results show that approximately 21.8 million (6.87% of) U.S. population are exposed to 100-year-flood in 2015, and most of the exposure is near water bodies (e.g. ocean and rivers). Additionally, communities near water bodies are more responsive to potential flood hazards by avoiding residence in flood zones than inland communities. At the national scale, economically disadvantaged population are more likely to reside in flood zones than outside. At the local scale, economically disadvantaged population tend to reside in flood zones in inland areas, while coastal flood zones are more occupied by wealthier and elderly people. These findings point to an alarming situation of inland communities where people are generally less responsive to flood hazards and people in flood zones are in a lower economic condition. Using "hot spot" analysis, local clusters of disadvantaged population groups with high flood exposure were identified. Overall, this study provides important baseline information for policymaking at different levels of administration and pinpoints local areas where diversified and ad hoc strategies are needed to mitigate flood risk in communities with diverse socio-economic conditions. This study provides empirical evidence of socio-economic disparities and environmental injustice associated with flood exposure in the U.S. and offers valuable insights to the underlying factors.

Widening socio-economic disparities in early childhood obesity in Los Angeles County after the Great Recession

OBJECTIVE

While economic crises can increase socio-economic disparities in health, little is known about the impact of the 2008-09 Great Recession on obesity prevalence among children, especially low-income children. The present study examined whether socio-economic disparities in obesity among children of pre-school age participating in a federal nutrition assistance programme have changed since the recession.

DESIGN

A pre-post observational study using administrative data of pre-school-aged programme participants from 2003 to 2014. Logistic regression was used to examine whether the relationship between obesity prevalence (BMI≥95th percentile of the Centers for Disease Control and Prevention's growth charts) and three measures of socio-economic status (household income, household educational attainment, neighbourhood-level median household income) changed after the recession by examining the interaction between each socio-economic status measure and a 5-year time-period variable (2003-07 v. 2010-14), stratified by child's age and adjusted for child's sociodemographic characteristics.

SETTING

Los Angeles County, California, USA.

SUBJECTS

Children aged 2-4 years (n 1 637 788) participating in the Special Supplemental Nutrition Program for Women, Infants, and Children.

RESULTS

The magnitude of the association of household income and household education with obesity increased after 2008-09 among 3- and 4-year-olds and 2- and 3-year-olds, respectively. However, the magnitude of the association of neighbourhood-level median household income with obesity did not change after 2008-09.

CONCLUSIONS

Disparities in obesity by household-level socio-economic status widened after the recession, while disparities by neighbourhood-level socio-economic status remained the same. The widening household-level socio-economic disparities suggest that obesity prevention efforts should target the most vulnerable low-income children.