Food insecurity and diabetes management among adults of African descent: A systematic review.

AIMS: This systematic review explores the established causal link between food insecurity and cardiometabolic conditions among adults of African descent. Specifically, this study examined the relationship between food insecurity and the management of type 2 diabetes, highlighting the prevalence of food insecurity among individuals of African descent with type 2 diabetes. METHODS: Original English papers were meticulously searched in databases including PubMed, CINAHL, PsycINFO, Medline, Cochrane, Embase and Web of Science. The Cochrane Risk of Bias Tool for quantitative studies and COReQ for qualitative studies were employed to assess biases. Three independent reviewers meticulously evaluated and synthesized results, reaching a consensus. RESULTS: Among the 198 studies identified, 14 met the inclusion criteria for data extraction and analysis, which were conducted independently by three reviewers. The findings indicate that individuals of African descent are more likely to experience food insecurity compared to their White counterparts and are also more prone to diabetes risk factors or the presence of diabetes. CONCLUSIONS: This study underscores a higher prevalence of food insecurity and type 2 diabetes among adults of African descent, suggesting that ethnicity and food insecurity play significant roles in diabetes management. Future research should prioritize interventions aimed at reducing these disparities.

Geographical Disparities in Lung Cancer in Canada: A Review.

PURPOSE OF REVIEW: The eastern provinces of Canada exhibit a heightened prevalence and mortality rate of lung cancer compared to their western counterparts. While established risk factors for lung cancer exist in Canada, there remains ambiguity regarding the underlying provincial and territorial trends. This review aims to identify and analyze potential contributors to healthcare inequality, guiding policymakers towards a strategic and sustainable approach at the provincial level. RECENT FINDINGS: Existing studies emphasize the significant roles played by socio-economic and environmental factors in influencing lung cancer disparities across Canadian provinces. However, a noticeable research gap persists, particularly in systematically examining the factors that amplify geographical disparities in lung cancer incidence and mortality rates within Canada. This review underscores the disparities in lung cancer prevalence and mortality rates between eastern and western Canadian provinces. While socio-economic and environmental factors have been identified as influential, there is an evident need for further research to comprehensively understand and address the underlying contributors to these geographical discrepancies.

Food insecurity and disability among working-age and older adults.

OBJECTIVE: To explore relationships between disability, food insecurity (FI) and age and examine how socio-economic factors impact risk of FI among disabled people in working and older age. DESIGN: Logistic regression models used to analyse the contribution of socio-economic factors to gaps in risk of FI for disabled people. In models stratified into working and older age groups, differences in risk of FI for disabled and non-disabled people were examined by employment, education and assets. SETTING: England, Wales and Northern Ireland, 2016 and 2018. PARTICIPANTS: A representative sample of 6187 adults aged 16+, of whom 28 % were disabled, from the Food & You survey. RESULTS: The gap in FI risk by disability status decreased as age increased. For ages 25-34 for disabled v. non-disabled people, risk of FI was 31 % (95 % CI 21-41 %) v. 10 % (8-12 %); at ages 45 to 54, it was 18 % (11-23 %) v. 7 % (5-8 %), and at ages 75+, there was no gap in risk. Accounting for socio-economic variables halved the gap in risk among working ages. However, among working-age adults, FI among disabled people in full-time work was 15 % (11-20 %) compared with only 7 % (6-9 %) among non-disabled people in full-time work. Among older people, disabled people without savings were at higher risk of FI (5 % (3-7 %)) than non-disabled people without savings (2 % (1-3 %)) but having savings closed risk gap. CONCLUSIONS: Socio-economic resources partially explain disparities in FI risk when disabled. Disparities remained for people in full-time work and among people without savings in older age.

The equitable impact of sugary drink taxation structures on sugary drink consumption among Canadians: a modelling study using the 2015 Canadian Community Health Survey-Nutrition.

OBJECTIVE: Estimate the impact of 20 % flat-rate and tiered sugary drink tax structures on the consumption of sugary drinks, sugar-sweetened beverages and 100 % juice by age, sex and socio-economic position. DESIGN: We modelled the impact of price changes - for each tax structure - on the demand for sugary drinks by applying own- and cross-price elasticities to self-report sugary drink consumption measured using single-day 24-h dietary recalls from the cross-sectional, nationally representative 2015 Canadian Community Health Survey-Nutrition. For both 20 % flat-rate and tiered sugary drink tax scenarios, we used linear regression to estimate differences in mean energy intake and proportion of energy intake from sugary drinks by age, sex, education, food security and income. SETTING: Canada. PARTICIPANTS: 19 742 respondents aged 2 and over. RESULTS: In the 20 % flat-rate scenario, we estimated mean energy intake and proportion of daily energy intake from sugary drinks on a given day would be reduced by 29 kcal/d (95 % UI: 18, 41) and 1·3 % (95 % UI: 0·8, 1·8), respectively. Similarly, in the tiered tax scenario, additional small, but meaningful reductions were estimated in mean energy intake (40 kcal/d, 95 % UI: 24, 55) and proportion of daily energy intake (1·8 %, 95 % UI: 1·1, 2·5). Both tax structures reduced, but did not eliminate, inequities in mean energy intake from sugary drinks despite larger consumption reductions in children/adolescents, males and individuals with lower education, food security and income. CONCLUSIONS: Sugary drink taxation, including the additional benefit of taxing 100 % juice, could reduce overall and inequities in mean energy intake from sugary drinks in Canada.

Ethnicity, socio-economic deprivation and postpartum outcomes following caesarean delivery: a multicentre cohort study.

Disparities relating to postpartum recovery outcomes in different socio-economic and racial ethnic groups are underexplored. We conducted a planned analysis of a large prospective caesarean delivery cohort to explore the relationship between ethnicity, socio-economic status and postpartum recovery. Eligible patients were enrolled and baseline demographic, obstetric and medical history data were collected 18 h and 30 h following delivery. Patients completed postpartum quality of life and recovery measures in person on day 1 (EuroQoL EQ-5D-5L, including global health visual analogue scale; Obstetric Quality of Recovery-10 item score; and pain scores) and by telephone between day 28 and day 32 postpartum (EQ-5D-5L and pain scores). Socio-economic group was determined according to the Index of Multiple Deprivation quintile of each patient's usual place of residence. Data from 1000 patients who underwent caesarean delivery were included. There were more patients of Asian, Black and mixed ethnicity in the more deprived quintiles. Patients of White ethnicities had shorter postpartum duration of hospital stay compared with patients of Asian and Black ethnicities (35 (28-56 [18-513]) h vs. 44 (31-71 [19-465]) h vs. 49 (33-75 [23-189]) h, respectively. In adjusted models at day 30, patients of Asian ethnicity had a significantly greater risk of moderate to severe pain (numerical rating scale ≥ 4) at rest and on movement (odds ratio (95%CI) 2.42 (1.24-4.74) and 2.32 (1.40-3.87)), respectively). There were no differences in readmission rates or incidence of complications between groups. Patients from White ethnic backgrounds experience shorter postpartum duration of stay compared with patients from Asian and Black ethnic groups. Ethnic background impacts pain scores and recovery at day 1 postpartum and following hospital discharge, even after adjusting for socio-economic group. Further work is required to understand the underlying factors driving differences in pain and recovery and to develop strategies to reduce disparities in obstetric patients.

Spatiotemporal heterogeneity and long-term impact of meteorological, environmental, and socio-economic factors on scrub typhus in China from 2006 to 2018.

BACKGROUND: Large-scale outbreaks of scrub typhus combined with its emergence in new areas as a vector-borne rickettsiosis highlight the ongoing neglect of this disease. This study aims to explore the long-term changes and regional leading factors of scrub typhus in China, with the goal of providing valuable insights for disease prevention and control. METHODS: This study utilized a Bayesian space-time hierarchical model (BSTHM) to examine the spatiotemporal heterogeneity of scrub typhus and analyze the relationship between environmental factors and scrub typhus in southern and northern China from 2006 to 2018. Additionally, a GeoDetector model was employed to assess the predominant influences of geographical and socioeconomic factors in both regions. RESULTS: Scrub typhus exhibits a seasonal pattern, typically occurring during the summer and autumn months (June to November), with a peak in October. Geographically, the high-risk regions, or hot spots, are concentrated in the south, while the low-risk regions, or cold spots, are located in the north. Moreover, the distribution of scrub typhus is influenced by environment and socio-economic factors. In the north and south, the dominant factors are the monthly normalized vegetation index (NDVI) and temperature. An increase in NDVI per interquartile range (IQR) leads to a 7.580% decrease in scrub typhus risk in northern China, and a 19.180% increase in the southern. Similarly, of 1 IQR increase in temperature reduces the risk of scrub typhus by 10.720% in the north but increases it by 15.800% in the south. In terms of geographical and socio-economic factors, illiteracy rate and altitude are the key determinants in the respective areas, with q-values of 0.844 and 0.882. CONCLUSIONS: These results indicated that appropriate climate, environment, and social conditions would increase the risk of scrub typhus. This study provided helpful suggestions and a basis for reasonably allocating resources and controlling the occurrence of scrub typhus.

Eye care following pre-school vision screening: Data from the Growing Up in New Zealand study.

AIM: This study aimed to determine adherence with follow-up from the New Zealand pre-school vision screening programme. The study also examined associations between pre-school vision screening outcomes and cognitive measures assessed at the 54-month follow-up in the Growing Up in New Zealand study cohort. METHODS: A cross-sectional retrospective record review of pre-school vision screening outcomes and hospital ophthalmology records with linkage to Growing Up in New Zealand cohort study data. RESULTS: Of 176 children referred from vision screening, 21.6% did not attend a referral appointment. Of 138 children who attended a referral appointment, 21.0% did not attend one or more follow-up appointments. Ethnic differences were observed in attendance at referral appointments (attended Maori 13%, Pacific 22.5%, European/Other 64.5%; not attended Maori 26.3%, Pacific 28.9%, European/Other 44.7%; P = 0.04) and follow-up appointments (attended Maori 11.9%, Pacific 15.6%, European/Other 72.5%; not attended Maori 17.2%, Pacific 48.3%, European/Other 34.5%; P = 0.001). Vision screening outcome was significantly associated with letter naming fluency scores (P = 0.01) but not name and numbers scores (P = 0.05). CONCLUSIONS: Non-attendance at referral and follow-up appointments limits the efficacy of vision screening, particularly for children of Maori and Pacific ethnicity. Children referred from vision screening achieve lower scores on letter naming fluency, a key predictor of reading ability in later childhood. Equity-based improvements are required to ensure that all children referred from vision screening receive appropriate follow-up eye care.

Life-course socio-economic status and its impact on functional health of Portuguese older adults.

Functional health is arguably one of the most important health indicators for older adults, because it assesses physical, cognitive and social functions in combination. However, life-course circumstances may impact this multidimensional construct. The aim of the present study was to assess the relationship between life-course socio-economic status (SES) and different dimensions of functional health in older adults. Data on 821 Portuguese adults aged 50 years and over in 2013-2015 were analysed. Life-course SES was computed using participants' paternal occupation (non-manual (nm); manual (m)) and own occupation (nm; m), resulting in four patterns: stable high (nm + nm), upward (m + nm), downward (nm + m) and stable low (m + m). Functional health included physical and mental functioning, cognitive function, handgrip strength, and walking speed. Linear (beta coefficients) and logistic regressions (odds ratios) were used to estimate the association between life-course SES and functional health.Overall, those who accumulated social disadvantage during life-course presented worse functional health than those with stable high SES (stable low - SF-36 physical functioning: ß = -9.75; 95% CI: -14.34; -5.15; SF-36 mental health: ß = -7.33; 95% CI: -11.55; -3.11; handgrip strength: ß = -1.60; 95% CI: -2.86; -0.35; walking time, highest tertile: OR = 5.28; 95% CI: 3.07; 9.09). Those with an upward SES were not statistically different from those in the stable high SES for most of the health outcomes; however, those with an upward SES trajectory tended to have higher odds of cognitive impairment (OR = 1.75; 95% CI: 0.96; 3.19). A downward SES trajectory increased the odds of slower walking speed (OR = 4.62; 95% CI: 1.78; 11.95). A disadvantaged life-course SES impacts older adults' physical and mental functioning. For some outcomes, this was attenuated by a favourable adulthood SES but those with a stable low SES consistently presented worse functional health.

Estimating the effect of socio-economic factors on infant mortality rates in Latin America between 2000 and 2019: a panel data analysis.

OBJECTIVES: Infant mortality is a crucial indicator of socio-economic development, reflecting the conditions in which children are born and raised. Despite notable reductions in Latin America, infant mortality rates remain relatively high compared to other regions worldwide. By understanding the socio-economic factors that influence infant mortality, we not only uncover immediate causes of infant deaths but also shed light on broader socio-economic and healthcare disparities contributing to the burden of disease. This study analyzes the impact of socio-economic factors on infant mortality rates in Latin America from 2000 to 2019, estimating the speed and magnitude of the response of infant mortality rates to changes in specific socio-economic factors. STUDY DESIGN: Longitudinal panel study. METHODS: Panel data regression models were used to examine the influence of specific socio-economic factors on infant mortality rates in Latin America. Additionally, impulse response functions estimated by local projections were used to estimate the speed and magnitude of the impact of socio-economic factors on infant mortality rates. RESULTS: The results highlight the importance of factors such as healthcare expenditure, female literacy, public expenditures on education, maternal mortality, physician density, total fertility rate, and tuberculosis incidence as significant determinants of infant mortality rates in the region. CONCLUSION: This study adds to the existing literature by offering empirical evidence on the association between these socio-economic factors and infant mortality in Latin America. It also provides a foundation for future research that investigates specific cases within Latin America and examines the variations of these socio-economic factors within those countries.

Extent and socioeconomic correlates of small area variations in life expectancy in Canada and the United States.

Background: An extensive literature documents substantial variations in life expectancy (LE) between countries and at various levels of subnational geography. These variations in LE are significantly correlated with socioeconomic covariates, though no analyses have been produced at the finest feasible census tract (CT) level of geographic disaggregation in Canada or designed to compare Canada with the United States. Data and methods: Abridged life tables for each CT where robust estimates were feasible were estimated comparably with U.S. data. Cross-tabulations and graphical visualizations are used to explore patterns of LE across Canada, for Canada's 15 largest cities, and for the 6 largest U.S. cities. Results: LE varies by as much as two decades across CTs in both countries' largest cities. There are notable differences in the strength of associations with socioeconomic status (SES) factors across Canada's largest cities, though these associations with income-poverty rates are noticeably weaker for Canada's largest cities than for the United States' largest cities. Interpretation: Small area geographic variations in LE signal major health inequalities. The association of CT-level LE with SES factors supports and extends similar findings across many studies. The variability in these associations within Canada and compared with those in the United States reinforces the importance for population health of better understanding differences in social structures and public policies not only at the national and provincial or state levels, but also within municipalities to better inform interventions to ameliorate health inequalities.

Analysing district-level climate vulnerability pattern in Madhya Pradesh, India, based on agricultural and socio-economic indicators.

Indian agriculture transitioned from a food deficit sector to a food surplus following the Green Revolution. However, the continued progress of Indian agriculture has been hampered by climate change. This research explores the district-wise vulnerability in Madhya Pradesh, India, to climate change by assessing the composite vulnerability index using the agricultural vulnerability index (AVI) and socio-economic vulnerability index (SEVI). The study seeks to understand how agricultural and socio-economic factors lead to variations in vulnerability across districts and influence targeted adaptation and mitigation strategies. The trend analysis results present declining rainfall and inclining temperature from 1951 to 2021 in Madhya Pradesh, directly affecting the agricultural sector and human livelihood. The composite vulnerability index (CVI) results revealed that districts with low values (< 0.394), such as Burhanpur and Balaghat, demonstrate reduced susceptibility due to limited cultivation, low reliance on rainfall, lower drought susceptibility, and decreased population density. Districts such as Panna and Bhopal show moderate vulnerability (0.394-0.423), with lower fallow land, reduced rainfed agriculture, and socio-economic vulnerability. Extensive agriculture and marginalised workers' presence influence high vulnerability (0.423 to 0.456) in districts such as Tikamgarh and Indore. Districts like Barwani and Jhabua have the highest CVI values (> 0.456), indicating substantial susceptibility to climate impacts. The cluster analysis validates the results of the vulnerability index. The findings highlight the urgent need for tailored adaptation strategies to address the diverse agricultural and socio-economic indicators creating vulnerability in Madhya Pradesh. The study helps understand regional vulnerability patterns and provides evidence-based policy approaches for resilience to climate change effects.

The Role of Family Factors in the Development of Dental Anxiety in Children.

Background and Objectives: In the literature, the influence of parents who suffer from dental anxiety and a previous unpleasant experience at the dentist are cited as the two most common causes of dental anxiety in children. The aim of this study is to investigate the relationship between socioeconomic factors and the development of dental anxiety in children aged 9 to 12 years. Materials and Methods: A total of 131 children and their accompanying parents/guardians participated in the cross-sectional study. The children were divided into an experimental group, which visited a specialised office for paediatric and preventive dentistry for the examination, and a control group, which visited a primary care dental office. During the visit, the children completed questionnaires on dental anxiety (CFSS-DS). Parents completed a socioeconomic questionnaire and a dental anxiety questionnaire for adults (CDAS). Results: The results showed a statistically significant positive predictor: parental dental anxiety as measured by the CDAS. In addition, the t-test showed that children who visited a specialised dental office did not show a statistically significant increase in dental anxiety compared to children who visited a primary care dental office. Conclusions: With this study, we confirm the influence of parental dental anxiety on the development of dental anxiety in children. The socioeconomic status of the family and the type of dental office do not play a statistically significant role in the development of dental anxiety in children.

Exploring Disparities in Healthcare Wearable Use among Cardiovascular Patients: Findings from a National Survey.

Background: Use of healthcare wearable devices holds significant potential for improving the prevention and management of cardiovascular diseases (CVD). However, we have limited knowledge on the actual use of wearable devices by CVD patients and the key factors associated with their use. This study aims to assess wearable device use and willingness to share health data among CVD patients, while identifying socio-demographic, health, and technology-related factors associated with wearable technology use. Methods: Using a national survey of 933 CVD patients, we assess use of wearable healthcare devices (use, frequency of use and willingness to share health data from wearable with a provider), and a set of socio-demographic factors (age, gender, race, education and household income), health-related variables (general health, presence of comorbid conditions: diabetes and high blood pressure, attitude towards exercise) and technology self-efficacy using logistic regression. Results: Of the 933 CVD patients, 18.34% reported using a healthcare wearable device in the prior 12 months. Of those, 41.92% indicated using it every day and another 19.76% indicated using it 'almost every day'. 83.54% of wearable users indicated their willingness to share health data with their healthcare providers. Female CVD patients are more likely to use wearables compared to men (odds ratio (OR) = 1.65, 95% confidence interval (CI) = 1.04-2.63). The odds decrease with age, and are significantly high in patients with higher income levels. In comparison with non-Hispanic White, Hispanic (OR = 0.14, 95% CI = 0.03-0.70) and African Americans (OR = 0.17, 95% CI = 0.04-0.86) are less likely to use healthcare wearables. CVD patients who perceive their general health to be better (OR = 1.45, 95% CI = 1.11-1.89) and those who enjoy exercising (OR = 1.76, 95% CI = 1.22-2.55) are more likely to use wearables. CVD patients who use the internet for searching for medical information (OR = 2.10, 95% CI = 1.17-3.77) and those who use electronic means to make appointments with their providers (OR = 2.35, 95% CI = 1.48-3.74) are more inclined to use wearables. Conclusions: Addressing low wearable device usage among CVD patients requires targeted policy interventions to ensure equitable access. Variations in gender, age, race/ethnicity, and income levels emphasize the need for tailored strategies. Technological self-efficacy, positive health perceptions, and exercise enjoyment play significant roles in promoting wearable use. These insights should guide healthcare leaders in designing effective strategies for integrating wearables into cardiovascular care.

Incidence and Bayesian Mapping of Myeloid Hematologic Malignancies in Sardinia, Italy.

BACKGROUND: The epidemiology of myeloid hematologic malignancies in Italy has been poorly investigated. METHODS: We used a validated database of 1974-2003 incident cases of hematologic malignancies among the resident population (all ages) of Sardinia, Italy, to describe the incidence of myeloid malignancies overall (N = 4389 cases) and by subtype. We investigated the time trend of acute myeloid leukemia (N = 1227 cases), chronic myeloid leukemia (N = 613 cases), and myelodysplastic syndrome (N = 1296 cases), and used Bayesian methods to explore their geographic spread, and Poisson regression analysis to estimate their association with environmental and socio-economic factors. RESULTS: The annual standardized (world population) incidence rate (IR) of myeloid malignancies over the study period was 6.5 per 100,000 (95% CI 6.2-6.7). Myelodysplastic syndromes were the most prevalent subgroup (IR = 1.7, 95% CI 1.5-1.8). Incidence of all myeloid malignancies combined increased sharply during the study period with an annual percent change (APC) of 10.06% (95% CI 9.51-10.61), 19.77% for myelodysplastic syndromes (95% CI 19.63-19.91), and 3.18% (95% CI 2.99-3.37) for acute myeloid leukemia. Chronic myeloid leukemia did not show an upward trend. Apart from sporadic excesses in small rural communities and the major urban area, there was no evidence of spatial clustering. The risk of myeloid malignancies increased with increasing prevalence of sheep breeding. CONCLUSIONS: Our results might prompt further research on the local genetic and environmental determinants of myeloid hematologic malignancies.

Prevalence of smoking during pregnancy and associated social inequalities in developed countries over the 1995-2020 period: A systematic review.

BACKGROUND: Smoking during pregnancy (SDP) is an important source of preventable morbidity and mortality for both mother and child. OBJECTIVES: The aim of this study was to describe changes in the prevalence of SDP over the last 25 years in developed countries (Human Development Index >0.8 in 2020) and associated social inequalities. DATA SOURCES: A systematic review was conducted based on a search in PubMed, Embase and PsycInfo databases and government sources. STUDY SELECTION AND DATA EXTRACTION: Published studies between January 1995 and March 2020, for which the primary outcome was to assess the national prevalence of SDP and the secondary outcome was to describe related socio-economic data were included in the analysis. The selected articles had to be written in English, Spanish, French or Italian. SYNTHESIS: The articles were selected after successive reading of the titles, abstracts and full-length text. An independent double reading with intervention of a third reader in case of disagreement allowed including 35 articles from 14 countries in the analysis. RESULTS: The prevalence of SDP differed across the countries studied despite comparable levels of development. After 2015, the prevalence of SDP ranged between 4.2% in Sweden and 16.6% in France. It was associated with socio-economic factors. The prevalence of SDP slowly decreased over time, but this overall trend masked inequalities within populations. In Canada, France and the United States, the prevalence decreased more rapidly in women of higher socio-economic status, and inequalities in maternal smoking were more marked in these countries. In the other countries, inequalities tended to decrease but remained significant. CONCLUSIONS: During pregnancy, that is a period described as a window of opportunity, smoking and social vulnerability factors need to be detected to implement targeted prevention strategies aiming at reducing related social inequalities.

The role of multimorbidity and socio-economic characteristics as potential risk factors for Long Covid: evidence from the multilevel analysis of the Survey of Health, Ageing and Retirement in Europe's corona surveys (2020-2021).

BACKGROUND: A substantial proportion of individuals continue experiencing persistent symptoms following the acute stage of their Covid-19 illness. However, there is a shortage of population-based studies on Long Covid risk factors. OBJECTIVE: To estimate the prevalence of Long Covid in the population of middle-aged and older Europeans having contracted Covid-19 and to assess the role of multimorbidity and socio-economic characteristics as potential risk factors of Long Covid. METHODS: A population-based longitudinal prospective study involving a sample of respondents 50 years and older (n = 4,004) from 27 countries who participated in the 2020 and 2021 Survey of Health, Ageing and Retirement in Europe (SHARE), in particular the Corona Surveys. Analyses were conducted by a multilevel (random intercept) hurdle negative binomial model. RESULTS: Overall, 71.6% (95% confidence interval = 70.2-73.0%) of the individuals who contracted Covid-19 had at least one symptom of Long Covid up to 12 months after the infection, with an average of 3.06 (standard deviation = 1.88) symptoms. There were significant cross-country differences in the prevalence of Long Covid and number of symptoms. Higher education and being a man were associated with a lower risk of Long Covid, whilst being employed was associated with a higher risk of having Long Covid. Multimorbidity was associated with a higher number of symptoms and older age was associated with a lower number of symptoms. CONCLUSION: Our results provide evidence on the substantial burden of Long Covid in Europe. Individuals who contracted Covid-19 may require long-term support or further medical intervention, putting additional pressure on national health care systems.

Determinants of incomplete vaccination in children at age two in France: results from the nationwide ELFE birth cohort.

Incomplete vaccination in the pediatric population is a growing public health issue in high-income countries, but its determinants are poorly understood. Their identification is necessary to design target actions that can improve vaccination uptake. Our aim was to assess the determinants of incomplete vaccination in two-year-old children in France. Among the 18,329 children included in the 2011 ELFE French nationwide population-based birth cohort, we selected those for whom vaccination status was available at age two years. Incomplete vaccination was defined as ≥ 1 missing dose of recommended vaccines. Potential determinants of incomplete vaccination were identified by using logistic regression, taking into account attrition and missing data. Of the 5,740 (31.3%) children analyzed, 46.5% (95% confidence interval [CI] 44.7-48.0) were incompletely vaccinated. Factors independently associated with incomplete vaccination were having older siblings (adjusted odds ratio 1.18, 95% CI [1.03-1.34] and 1.28 [1.06-1.54] for one and ≥ 2 siblings, respectively, vs. 0), residing in an isolated area (1.92 [1.36-2.75] vs. an urban area), parents not following health recommendations or using alternative medicines (1.81 [1.41-2.34] and 1.23 [1.04-1.46], respectively, vs. parents confident in institutions and following heath recommendations), not being visited by a maternal and child protection service nurse during the child's first two months (1.19 [1.03-1.38] vs. ≥ 1 visit), and being followed by a general practitioner (2.87 [2.52-3.26] vs. a pediatrician). CONCLUSIONS: Incomplete vaccination was highly prevalent in the studied pediatric population and was associated with several socio-demographic, parental, and healthcare service characteristics. These findings may help in designing targeted corrective actions. WHAT IS KNOWN: • Incomplete vaccination in the pediatric population is a growing public health issue in high-income countries. • The partial understanding of the determinants of incomplete vaccination precludes the design of effective targeted corrective actions. WHAT IS NEW: • High prevalence of incomplete vaccination at age two years in France. • Incomplete vaccination was independently associated with several socio-demographic, parental, and healthcare service characteristics.

Association of globalization with the burden of opioid use disorders 2019. A country-level analysis using targeted maximum likelihood estimation.

BACKGROUND: The "opioid crisis" has been responsible for hundreds of thousands deaths in the US, and is at risk of dissemination worldwide. Within-country studies have demonstrated that the rise of opioid use disorders (OUD) is linked to increased access to opioid prescriptions and to so-called "diseases of despair". Both have been related to the emergence of globalization policies since the 1980s. First, globalized countries have seen a reorganization of healthcare practices towards quick and easy answers to complex needs, including increased opioid prescriptions. Second, despair has gained those suffering from the mutations of socio-economic systems and working conditions that have accompanied globalization policies (e.g. delocalization, deindustrialization, and the decline of social services). Here, using data with high quality ratings from the Global Burden of Disease database, we evaluated the country-based association between four levels of globalization and the burden of OUD 2019. RESULTS: The sample included 87 countries. Taking into account potential country-level confounders, we found that countries with the highest level of globalization were associated with a 31% increase in the burden of OUD 2019 compared to those with the lowest level of globalization (mean log difference: 0.31; 95%CI, 0.04-0.57; p = 0.02). Additional analyses showed a significant effect for low back pain (mean log difference: 0.07; 95%CI, 0.02-0.12; p = 0.007). In contrast, despite sharing some of the risk factors of OUD, other mental and substance use disorders did not show any significant relationship with globalization. Finally, socio-cultural de jure globalization, which compiles indicators related to gender equality, human capital and civil rights, was specifically associated with the burden of OUD (mean log difference: 0.49; 95%CI: 0.23,0.75; p < 0.001). CONCLUSIONS: These findings suggest that OUD may have inherent underpinnings linked to globalization, and more particularly socio-cultural aspects of globalization. Key factors may be increased rights to access prescriptions, as well as increased feelings of despair related to the erosion of local cultures and widening educational gaps.

Health inequalities between Roma and non-Roma populations in Europe: A study of 118,834 individuals combining the UNDP Roma and the EU-SILC surveys.

AIMS: This study aimed to compare the self-rated health status of the Roma and of the general population by gender and educational level in six Central and Eastern European countries. METHODS: We analysed the United Nations Development Program Regional Roma Survey and EUROSTAT's European Union Statistics on Income and Living Conditions surveys from 2011 for Bulgaria, Croatia, Czechia, Hungary, Romania and Slovakia. Using logistic regression, predicted probabilities of good or very good self-rated health were estimated for the Roma (n=11,401), Roma neighbours (n=5857) and the general population (n=101,579) stratified by gender, and adjusted by age, country and educational level. RESULTS: There was a distinctive social gradient in self-rated health between the groups among both men and women, and a gap between primary versus secondary or tertiary education among all three groups, but Roma (men) and their neighbours with secondary or higher education had significantly worse predicted self-rated health compared to the general population with similar qualifications. CONCLUSIONS: These results strongly suggest that ethnicity and gender should be considered as fundamental causes that explain structural health inequalities. Consequently, future research and policy initiatives to reduce health inequities should acknowledge the impact of ethnic minorities and how these fundamental causes extend the general population's social gradient in health. Study designs enabling direct comparisons between ethnic groups and the general population should be applied. More and better data about ethnic minorities are needed to document and monitor existing health inequalities.

Staying in or out? COVID-19-induced healthcare utilization avoidance and associated socio-demographic factors in rural India.

BACKGROUND: Although evidence on healthcare utilization avoidance during COVID-19 pandemic is emerging, such knowledge is limited in rural settings. An effective policy to the COVID-19 shocks and stresses in rural settings require empirical evidence to inform the design of health policies and programmes. To help overcome this evidence gap and also contribute to policy decisions, this study aimed at examining COVID-19-induced healthcare utilization avoidance and associated factors in rural India. METHODS: This study used the third-round data from the COVID-19-Related Shocks in Rural India survey conducted between 20-24 September, 2020 across six states. The outcome variable considered in this study was COVID-19-induced healthcare utilization avoidance. Multivariable Binary Logistic Regression Model via Multiple Imputation was used to assess the factors influencing COVID-19-induced healthcare utilization avoidance. RESULTS: Data on 4,682 respondents were used in the study. Of this, the prevalence of COVID-19-induced healthcare utilization avoidance was 15.5% in rural India across the six states. After adjusting for relevant covariates, participants from the Bihar State have significantly higher likelihood of COVID-19-induced healthcare utilization avoidance compared to those from the Andhra Pradesh. Also, participants whose educational level exceeds high school, those who use government hospital/clinic, engage in daily wage labour in agriculture have significantly higher odds of COVID-19-induced healthcare utilization avoidance compared to their counterparts. CONCLUSION: Our study revealed that state of residence, type of health facility used, primary work activity and educational level were associated with COVID-19-induced healthcare utilization avoidance in rural India. The findings suggest that policy makers and public health authorities need to formulate policies and design interventions that acknowledge socioeconomic and demographic factors that influence healthcare use avoidance.