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.

Women's Empowerment in India: State-Wise Insights From the National Family Health Survey 5.

Background Women's empowerment is critical for achieving gender equality and societal progress. Despite various efforts, significant disparities in women's empowerment persist across different states in India. This study aims to provide a comprehensive assessment of women's empowerment using data from the National Family Health Survey 5 (NFHS-5). Methods Data from the NFHS-5, collected between June 2019 and April 2021, were used. The Women's Empowerment Index (WEI) was calculated for each of the 28 states based on four dimensions: economic empowerment, decision-making, health and nutrition, and gender roles. Statistical analysis, including Pearson and Spearman correlations, was conducted to assess associations between WEI and various socioeconomic variables. Results The WEI ranged from 17.4 to 27.4, with a mean of 21.3 ± 2.6. Goa, Sikkim, and Himachal Pradesh had the highest WEI scores, while West Bengal, Andhra Pradesh, and Telangana had the lowest. Economic empowerment was highest in Karnataka, Sikkim, and Arunachal Pradesh. Decision-making scores were highest in Nagaland, Mizoram, and Goa. Health and nutrition scores were highest in Goa, Sikkim, and Uttarakhand. Positive gender roles were most prominent in Himachal Pradesh, Nagaland, and Goa. Significant correlations were found between WEI and per capita net state domestic product, literacy rates, median age at marriage, and total fertility rate. Conclusion The study highlights substantial variations in women's empowerment across Indian states, influenced by socioeconomic, health, and educational factors. Targeted interventions are needed to address specific barriers and promote gender equality. Future research should evaluate the effectiveness of these interventions and explore additional factors influencing women's empowerment.

Socioeconomic Status and Rate of Poverty in Overweight and Obesity among Spanish Children and Adolescents.

BACKGROUND: This study aimed to analyze the relationship between socioeconomic status (SES), poverty rate, and the prevalence of overweight/obesity or obesity in children and adolescents aged 2-14. METHODS: Parents or guardians reported the weight and height of participants, used to calculate body mass index (BMI) and BMI z-scores according to the International Obesity Task Force standards. Participants were categorized into "overweight/obesity" and "no overweight/obesity" and further into "obesity" and "no obesity". The rate of poverty rate was determined using data from the National Statistics Institute of Spain, defining it as the percentage of people with income below 60% of the national median. SES was based on the head of household's occupation and categorized into low, medium, and high levels. RESULTS: Adjusted multilevel models showed participants with medium or high SES had lower odds of overweight/obesity compared to those with low SES (medium SES: odds ratio [OR]: 0.63, 95% confidence interval [CI]: 0.54-0.73; high SES: OR: 0.59, 95% CI: 0.49-0.70). Participants in the high-poverty group had higher odds of having overweight/obesity (OR: 1.40, 95% CI: 1.13-1.74) compared to the low-poverty group. CONCLUSIONS: The study highlights significant socioeconomic disparities in childhood overweight/obesity, emphasizing the potential impact of SES and poverty on health outcomes in Spanish children and adolescents.

Factors contributing to diabetic ketoacidosis readmission in hospital settings in the United States: A scoping review.

BACKGROUND: Hospitalization of patients with DKA creates a significant burden on the US healthcare system. While previous studies have identified multiple potential contributors, a comprehensive review of the factors leading to DKA readmissions within the US healthcare system has not been done. This scoping review aims to identify how access to care, treatment adherence, socioeconomic status, race, and ethnicity impact DKA readmission-related patient morbidity and mortality and contribute to the socioeconomic burden on the US healthcare system. Additionally, this study aims to integrate current recommendations to address this multifactorial issue, ultimately reducing the burden at both individual and organizational levels. METHODS: The PRISMA-SCR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) was used as a reference checklist throughout this study. The Arksey and O'Malley methodology was used as a framework to guide this review. The framework methodology consisted of five steps: (1) Identify research questions; (2) Search for relevant studies; (3) Selection of studies relevant to the research questions; (4) Chart the data; (5) Collate, summarize, and report the results. RESULTS: A total of 15 articles were retained for analysis. Among the various social factors identified, those related to sex/gender (n = 9) and age (n = 9) exhibited the highest frequency. Moreover, race and ethnicity (n = 8) was another recurrent factor that appeared in half of the studies. Economic factors were also identified in this study, with patient insurance type having the highest frequency (n = 11). Patient income had the second highest frequency (n = 6). Multiple studies identified a link between patients of a specific race/ethnicity and decreased access to treatment. Insufficient patient education around DKA treatment was noted to impact treatment accessibility. Certain recommendations for future directions were highlighted as recurrent themes across included studies and encompassed patient education, early identification of DKA risk factors, and the need for a multidisciplinary approach using community partners such as social workers and dieticians to decrease DKA readmission rates in diabetic patients. CONCLUSION: This study can inform future policy decisions to improve the accessibility, affordability, and quality of healthcare through evidence-based interventions for patients with DM following an episode of DKA.

Socio economic factors and adherence to home based exercise in people with epilepsy.

Exercise is a well-established component in the management of chronic illness both as a primary prevention and secondary intervention. The assumption that in otherwise healthy individuals, higher socioeconomic status (SES) is positively associated with physical activity (PA) has been debated. We report the influence of SES on adherence to home-based exercise program in people with epilepsy (PWE) from a developing country. Participants' response to self-reported Social Needs Screening Tool of the American Academy of Family Physicians was collected. The current study is a secondary follow-up and post-hoc analysis of data from patients we have previous published. The average age of the study population was 26.93 ± 10.20 years with 57.8 % men. Among the 116 study participants, 31 (26.72 %) were adherent to the exercise program. Unemployment (14.1 % vs. 0.0 %; p = 0.034) was higher, fewer people had least high school education (76.6 % vs 93.5 %; p = 0.050) in PWE who did not adhere to exercise program. A significantly higher number of PWE who were not adherent to exercise reported that their family members or anyone else never physically hurt them (97.6 % vs 80.6 %; p = 0.05), never threaten (94.1 % vs 74.2 %; p = 0.007) and/or never scream at them (90.6 % vs 74.2 %; p = 0.011). In PWE education and employment are associated with adherence to home-based exercise programs. The role of family support and personal safety in adherence to exercise should be evaluated in detail.

Socioeconomic and Demographic Determinants of Readmission Rates in Congestive Heart Failure Patients: Insights From the Nationwide Readmissions Database.

Background Congestive heart failure (CHF) is a leading cause of hospitalizations and readmissions, placing a significant burden on the healthcare system. Identifying factors associated with readmission risk is crucial for developing targeted interventions and improving patient outcomes. This study aimed to investigate the impact of socioeconomic and demographic factors on 30-day and 90-day readmission rates in patients primarily admitted for CHF. Methods The study was carried out using a cross-sectional study design, and the data were obtained from the Nationwide Readmissions Database (NRD) from 2016 to 2020. Adult patients with a primary diagnosis of CHF were included. The primary outcomes were 30-day and 90-day all-cause readmission rates. Multivariable logistic regression was used to identify factors independently associated with readmissions, including race, ethnicity, insurance status, income level, and living arrangements. Results A total of 219,904 patients with a primary diagnosis of CHF were used in the study. The overall 30-day and 90-day readmission rates were 17.3% and 23.1%, respectively. In multivariable analysis, factors independently associated with higher 30-day readmission risk included Hispanic ethnicity (OR 1.18, 95% CI 1.03-1.35), African American race (OR 1.15, 95% CI 1.04-1.28), Medicare insurance (OR 1.24, 95% CI 1.12-1.38), and urban residence (OR 1.11, 95% CI 1.02-1.21). Higher income was associated with lower readmission risk (OR 0.87, 95% CI 0.79-0.96 for highest vs. lowest quartile). Similar patterns were observed for 90-day readmissions. Conclusion Socioeconomic and demographic factors, including race, ethnicity, insurance status, income level, and living arrangements, significantly impact 30-day and 90-day readmission rates in patients with CHF. These findings highlight the need for targeted interventions and policies that address social determinants of health and promote health equity in the management of CHF. Future research should focus on developing and evaluating culturally sensitive, community-based strategies to reduce readmissions and improve outcomes for high-risk CHF patients.

Environmental, socioeconomic, and health factors associated with gut microbiome species and strains in isolated Honduras villages.

Despite a growing interest in the gut microbiome of non-industrialized countries, data linking deeply sequenced microbiomes from such settings to diverse host phenotypes and situational factors remain uncommon. Using metagenomic data from a community-based cohort of 1,871 people from 19 isolated villages in the Mesoamerican highlands of western Honduras, we report associations between bacterial species and human phenotypes and factors. Among them, socioeconomic factors account for 51.44% of the total associations. Meta-analysis of species-level profiles across several datasets identified several species associated with body mass index, consistent with previous findings. Furthermore, the inclusion of strain-phylogenetic information modifies the overall relationship between the gut microbiome and the phenotypes, especially for some factors like household wealth (e.g., wealthier individuals harbor different strains of Eubacterium rectale). Our analysis suggests a role that gut microbiome surveillance can play in understanding broad features of individual and public health.

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.

Holistic exploration of reading comprehension skills, technology and socioeconomic factors in Spanish teenagers.

The intricate relationship between teenagers' literacy and technology underscores the need for a comprehensive understanding, particularly in the Spanish context. This study employs explainable artificial intelligence (AI) to delve into this complex interplay, focusing on the pivotal role of reading comprehension skills in the personal and career development of Spanish teenagers. With a sample of 22,400 15-year-olds from the PISA dataset, we investigate the impact of socioeconomic factors, technology habits, parental education, residential location, and school type on reading comprehension skills. Utilizing machine learning techniques, our analysis reveals a nuanced connection between autonomy, technological proficiency, and academic performance. Notably, family oversight of technology use emerges as a crucial factor in managing the impact of digital technology and the Internet on reading comprehension skills. The study emphasizes the necessity for a balanced and supervised introduction to technology from an early age. Contrary to current trends, our findings indicate that online gaming may not contribute positively to reading comprehension skills, while moderate daily Internet use (1-4 h) proves beneficial. Furthermore, the study underscores the ongoing nature of acquiring reading comprehension and technological skills, emphasizing the need for continuous attention and guidance from childhood. Parental education levels are identified as partial predictors of children's performance, emphasizing the importance of a holistic educational approach that considers autonomy and technological literacy. This study advocates for addressing socio-economic and gender inequalities in education and highlights the crucial role of cooperation between schools and families, particularly those with lower educational levels.

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.

An analysis of the social, cultural, and ecological factors that affect the implementation of biosecurity measures on smallholder commercial swine farms in Italy in the context of an emerging African Swine Fever outbreak.

African Swine Fever (ASF) is a contagious viral disease that infects wild and domesticated swine. In early 2022, the virus was found in wild boar in the Apennine mountains of mainland Italy.2 Since then, it has spread from wild boar to domesticated swine. To control the spread of ASF, an effective surveillance system and the implementation of strict biosecurity measures on farms are required yet are unevenly implemented across husbandry systems. Smallholder farms in particular are known to have low levels of biosecurity. In the Apennine mountains of Italy, small commercial farms have been found to have low levels of biosecurity despite being located in areas with high densities of wild boar, and, hence, being high-risk sites for potential ASF incursion and subsequent diffusion. To address the question as to why the level of biosecurity is low, interviews and participant observation were conducted with smallholder commercial farmers. The interviews identified the social, cultural, and ecological factors that affect the implementation of biosecurity measures in small commercial swine farms in the Apennines. Farmers expressed knowledge of priority biosecurity measures and an overall willingness to follow rules and regulations; however, the application of the measures in practice was uneven across farms. Economic, political, and ecological factors as well as farmer beliefs about biosecurity emerged as important factors affecting the implementation of biosecurity measures. These include economic constraints, challenges posed by the mountain environment, a shifting regulatory environment, and ideas about animal welfare. Other important factors include cultural factors such as the use of traditional agricultural methods and norms about customer access to animals, time constraints and the perceived hassle of implementing the measures, farmer age, farmer relationships with government officials and veterinarians, and the role of pigs in reducing farm waste. The study confirmed that wild boar are present in high numbers and in close proximity to smallholder commercial farms in the Apennines.

A Systematic Review to Evaluate the Barriers to Breast Cancer Screening in Women with Disability.

Background: Breast cancer (BC) is one of the leading causes of mortality worldwide. There are observed disparities in patients with disability as compared to those without disability, which leads to poor BC screening attendance, thereby worsening disease management. Aim: The aim of this systematic review is to investigate if there are disparities in screening rates in women with disability as compared to those without disability, as well as the different factors that pose barriers to patients with disability for enrolment in BC screening programs. Method: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically reviewed published articles between 2008 and 2023, which assessed different factors that contributed to poor attendance in BC screening programs held across different countries. Detailed study characteristics were obtained, and methodological quality assessment was performed on the individual studies included in this review. Result: A total of fifty-three articles were identified as eligible studies based on the pre-defined inclusion and exclusion criteria. These included 7,252,913 patients diagnosed with BC (913,902 patients with disability/6,339,011 patients without disability). The results revealed there are demographic, clinical, financial, and service-related barriers that contributed to lower screening rates in disabled patients as compared to non-disabled. Patient age is the most common factor, with the highest effect observed for 80 years (vs. 30-44 years) [odds ratio (OR) = 13.93 (95% confidence interval (CI) = 8.27-23.47), p < 0.0001], followed by race/ethnicity for Hispanic (vs. non-Hispanic white) [OR = 9.5 (95%CI = 1.0-91.9), p < 0.05]. Additionally, patients with multiple disabilities had the highest rate of dropouts [OR = 27.4 (95%CI = 21.5-33.3)]. Other factors like education, income, marital status, and insurance coverage were essential barriers in screening programs. Conclusions: This study presents a holistic view of all barriers to poor BC screening attendance in disabled patients, thereby exacerbating health inequalities. A standardized approach to overcome the identified barriers and the need for a tailored guideline, especially for disability groups, is inevitable.

Prevalence and Correlates of Food Insecurity Among Older Adults in the United States.

This study analyzed the 2021 National Health Interview Survey (NHIS) to assess food insecurity among adults aged 65 and older. Among 8,877 older adults, 4 percent (N=287) reported low or very low food security levels. Those who identified as Black or African American and Hispanic or Latino were more likely to experience food insecurity compared to White individuals. The study found that merely surpassing the poverty threshold might not be sufficient to protect against food insecurity. It also underscored socioemotional support's protective role in older adults' food security. Social workers must recognize various factors influencing food security among older adults.

Nutritional Profiles and Their Links to Insulin Resistance and Anthropometric Variables in a Female Cohort.

This study investigates the relationship between dietary habits and metabolic health among women, emphasizing the role of anthropometric parameters as proxies for insulin resistance. We analyzed data from 443 women categorized into two groups based on the presence or absence of clinically diagnosed insulin resistance. Our assessments included dietary quality, socio-demographic characteristics, and a series of anthropometric measurements such as body weight, Body Mass Index (BMI), Waist-Hip Ratio (WHR), Abdominal Volume Index (AVI), and Body Adiposity Index (BAI). The results indicated significant disparities in these parameters, with the insulin-resistant group exhibiting higher average body weight (78.92 kg vs. 65.04 kg, p < 0.001), BMI (28.45 kg/m2 vs. 23.17 kg/m2, p < 0.001), and other related measures, suggesting a strong influence of dietary patterns on body composition and metabolic risk. The study underscores the importance of dietary management in addressing insulin resistance, advocating for personalized dietary strategies to improve metabolic health outcomes in women. This approach highlights the need for integrating dietary changes with lifestyle modifications and socio-demographic considerations to combat metabolic risks effectively.

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.

Evaluating the effects of ECON-ESG on load capacity factor in G7 countries.

For the first time, this study introduces the ECON-ESG quadruple, developed by Isik et al. (2024a), by adding the economy (ECON) dimension to the classical ESG (environment, social, governance) triad. Based on this new concept, it explores the impact of ECON-ESG factors on the Load Capacity Factor (LCF) in G7. The impact of ECON-ESG factors on LCF is vital because sustainability through these factors plays a critical role in a sustainable environment with LCF. CS-ARDL model finds that while governance factors (GOVNF) positively affect LCF, economic factors (ECONF) have negative effects. Environmental factors (ENVF) and social factors (SOCF) do not affect LCF. These findings can be interpreted as follows: (i) Negative effects of ECONF on LCF can be interpreted as high productivity levels in G7 leading to high resource consumption, exceeding biocapacity. (ii) In G7 with high-income levels, increased consumption may lead to overconsumption of natural resources and exceeding biocapacity. (iii) High technological progress in G7 can sometimes paradoxically lead to greater resource consumption rather than encouraging more efficient resource use, increasing an ecological footprint. The positive effects of GOVNF on LCF can be interpreted as follows: (iv) High and quality governance practices and policies in G7 can increase biocapacity. (vi) Under good governance, governments and environmental organizations can positively impact LCF by raising public awareness of environmental issues and enabling society to use natural resources more sustainably. Therefore, policymakers should harmonize economic policies through ECONF and governance policies through social factors (GOVNF), which contradict each other in LCF. Additionally, the effect of the single composite form ECON-ESG introduced and proposed in this study on LCF is found to be negative. This requires policymakers and firms to re-evaluate their sustainability one more time from a holistic perspective, including economic factors, as done in this study.

Factors affecting major depression in Iran: a mixed-method study.

Depression is a major cause of disability and, if left untreated, can increase the risk of suicide. Evidence on the determinants of depression is incomplete, making it challenging to interpret results across studies. This study aims to identify the social, economic, environmental, political, and technological factors influencing the great recession in Iran. The study was conducted in two parts. The first step involved a literature review to identify the factors, using PubMed, Scopus, and Web of Science for the search. The reference lists of all identified articles were reviewed to find relevant studies, and the extracted information was summarized and reported descriptively. The second steps involved compiling and consulting 14 experts from different fields, using a framework analysis method. Twenty-four articles were used as primary sources of information, and a total of 28 factors were found to exist. After removing duplicates and related factors, 19 of these were subsequently declared as factors, resulting in a total of 36 determinants being identified. Most of these factors belong to the social category. The health policies implemented have a significant impact on disease risk factors and ultimately their occurrence. Political decisions and policy-making processes play a crucial role in all areas, particularly in addressing disease risk factors. Severe depression can disrupt all aspects of the healthcare system, underscoring the importance of access to care. Policies concerning physical education, transportation, nutrition, employment, green spaces, recreational facilities, and tobacco are vital in this context. The influence of health policies on disease risk factors and disease occurrence is profound. Severe depression can have far-reaching effects on the healthcare system, emphasizing the critical need for access to care. The formulation of policies to combat depression must be thoroughly evaluated in terms of economic, political, social, technological, and environmental factors. The findings suggest that addressing social inequalities and emphasizing the role of political action, as highlighted by the social determinants of health, should be top priorities in addressing depression. Efforts to prevent depression should incorporate ecological approaches that consider the impact of the socioeconomic environment on depressive symptoms.

Measles, mumps, and rubella vaccination coverage: an ecological study of primary health care and socio-economic factors in Catalonia, Spain.

This study examined the association of socio-economic factors and the structure of primary care centres (PCCs) with measles, mumps, and rubella (MMR) vaccination coverage among the 8-year-old population in Catalonia, Spain. We conducted an ecological study to retrospectively assess the MMR vaccination-recorded status of children born in 2012, using public health data extracted in December 2020. For each of 300 PCCs serving 70,498 children, we calculated vaccination coverage rates from electronic health records and linked these rates to a composite deprivation index corresponding to the territory served by each PCC. We identified a relationship between unfavourable socio-economic factors and higher recorded vaccination coverage. On average, directly managed PCCs had higher vaccination coverage rates than indirectly managed PCCs. Greater utilisation of primary care services by the population was also associated with higher vaccination coverage rates. Further research is needed to generate knowledge valuable for informing more equitable child-vaccination service delivery models.

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.

Primary school children's health and its association with physical fitness development and health-related factors.

The health status (HS) of children is influenced by a variety of factors, including physical fitness (PF) or social and environmental characteristics. We present a 4-year longitudinal study carried out with 263 primary school children. PF was assessed yearly using the German Motor Performance Test 6-18. Demographic data, leisure time behavior and socioeconomic factors were collected using questionnaires for children and parents. Based on parents' ratings in year 4, children were categorized as either "very good health status" (VGHS) or "good health status or below" (GHSB). Children with VGHS (73%) showed a larger improvement of global PF (p < 0.001), a significantly higher proportion of being/playing outside (p < 0.001), significantly lower proportions of overweight (p < 0.001), of media availability in the bedroom (p = 0.011) and of daily media consumption > 2 h (p = 0.033) compared to children with GHSB. Regarding socio-economic factors, children with VGHS revealed significantly fewer parents with lower education (p = 0.002), lower physical activity levels (p = 0.030) and lower migration background (p < 0.001). Physical fitness (p = 0.019) and outdoors exercising (p = 0.050) were the only variables to provide significantly higher chances of perceiving one's own health as very good when tested within a complex model including all the variables studied in this work. Considering the little focus on PF in the current Austrian physical education curriculum and the favorable environmental features of the Tyrolean region, more emphasis should be given to promoting didactical and pedagogical approaches that allow schoolers to be active in the nature.