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BACKGROUND AND RATIONALE: Dental care systems have the potential to influence population oral health and patterns of socioeconomic inequalities. Therefore, understanding the impact of the ways in which countries fund, provide, and organize their dental care services is key in the analysis of determinants of oral health. In this commentary we offer a synopsis of recent typologies of healthcare systems, based on a rapid review, and highlight that none of them fit dental care services given the separation of dental care from general healthcare provision in many countries. The paper also summarizes evidence on dental care systems as determinants of population oral health and argues why a new typology of dental care systems is needed. CHALLENGES AND WAYS FORWARD: We argue that a typology must consider institutional arrangements, structures, and processes behind the provision of dental care, and that specific dimensions/variables that inform the typology should result from a process of discussion and consensus. Some methodological considerations for developing typologies are also discussed, including the challenges in the collection and analysis of data followed by an advanced cluster analysis. Despite their limitations, typologies have evolved into an essential tool for comparing the similarities and differences of healthcare systems across countries. Therefore, a dental specific typology for health systems will be useful for researchers, policymakers, and dental professionals to characterize the provision of dentalcare services in different countries. This will also enable examining their potential role as determinants of population oral health and inequalities.

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Policy evaluation and guidance on fluoride use and sugar consumption in Latin American and Caribbean countries (LACC) may provide a scientific evidence basis for policymakers, dental professionals, civil society organizations and individuals committed to improving public oral health. A cross-sectional study was conducted to evaluate the extent of implementation of policies/guidelines on fluoride use, and sugar consumption in LACC. The study had two stages. First a questionnaire covering four major areas was developed: fluoridation of public water supplies; salt fluoridation; fluoride dentifrices, and sugar consumption. Then, the questionnaire was applied to collect data among representative participants in public oral health from LACC. Ninety-six participants from 18 LACC answered the questionnaire. One-hundred seventy documents were attached, and 285 links of websites were provided by the respondents. Implementation of policies and guidelines on water and table salt fluoridation and processed and ultra-processed food consumption were found in most countries, with some issues in the consensus and coverage. Thus, differences were identified in the extent of implementation of public oral health strategies on sugar consumption and fluoridation among the countries. There is no consensus on the policies in LACC to reduce sugar consumption and for the use of fluoride. A few policies and guidelines were applied in isolated countries, with a variety of strategies and standards. For future actions, it will be important to encourage the development of strategies and public policies within countries, and to evaluate the effectiveness of existing policies in reducing dental caries and in improving oral health in LACC.

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BACKGROUND: Birth outcomes could have been affected by the COVID-19 pandemic through changes in access to prenatal services and other pathways. The aim of this study was to examine the effects of the COVID-19 pandemic on fetal death, birth weight, gestational age, number of prenatal visits, and caesarean delivery in 2020 in Colombia. METHODS: We conducted a secondary analysis of data on 3,140,010 pregnancies and 2,993,534 live births from population-based birth certificate and fetal death certificate records in Colombia between 2016 and 2020. Outcomes were compared separately for each month during 2020 with the same month in 2019 and pre-pandemic trends were examined in regression models controlling for maternal age, educational level, marital status, type of health insurance, place of residence (urban/rural), municipality of birth, and the number of pregnancies the mother has had before last pregnancy. RESULTS: We found some evidence for a decline in miscarriage risk in some months after the pandemic start, while there was an apparent lagging increase in stillbirth risk, although not statistically significant after correction for multiple comparisons. Birth weight increased during the onset of the pandemic, a change that does not appear to be driven by pre-pandemic trends. Specifically, mean birth weight was higher in 2020 than 2019 for births in April through December by about 12 to 21 g (p < 0.01). There was also a lower risk of gestational age at/below 37 weeks in 2020 for two months following the pandemic (April, June), but a higher risk in October. Finally, there was a decline in prenatal visits in 2020 especially in June-October, but no evidence of a change in C-section delivery. CONCLUSIONS: The study findings suggest mixed early effects of the pandemic on perinatal outcomes and prenatal care utilization in Colombia. While there was a significant decline in prenatal visits, other factors may have had counter effects on perinatal health including an increase in birth weight on average.

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Abstract Policy evaluation and guidance on fluoride use and sugar consumption in Latin American and Caribbean countries (LACC) may provide a scientific evidence basis for policymakers, dental professionals, civil society organizations and individuals committed to improving public oral health. A cross-sectional study was conducted to evaluate the extent of implementation of policies/guidelines on fluoride use, and sugar consumption in LACC. The study had two stages. First a questionnaire covering four major areas was developed: fluoridation of public water supplies; salt fluoridation; fluoride dentifrices, and sugar consumption. Then, the questionnaire was applied to collect data among representative participants in public oral health from LACC. Ninety-six participants from 18 LACC answered the questionnaire. One-hundred seventy documents were attached, and 285 links of websites were provided by the respondents. Implementation of policies and guidelines on water and table salt fluoridation and processed and ultra-processed food consumption were found in most countries, with some issues in the consensus and coverage. Thus, differences were identified in the extent of implementation of public oral health strategies on sugar consumption and fluoridation among the countries. There is no consensus on the policies in LACC to reduce sugar consumption and for the use of fluoride. A few policies and guidelines were applied in isolated countries, with a variety of strategies and standards. For future actions, it will be important to encourage the development of strategies and public policies within countries, and to evaluate the effectiveness of existing policies in reducing dental caries and in improving oral health in LACC.

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Objectives. To quantify socioeconomic inequalities in COVID-19 mortality in Colombia and to assess the extent to which type of health insurance, comorbidity burden, area of residence, and ethnicity account for such inequalities. Methods. We analyzed data from a retrospective cohort of COVID-19 cases. We estimated the relative and slope indices of inequality (RII and SII) using survival models for all participants and stratified them by age and gender. We calculated the percentage reduction in RII and SII after adjustment for potentially relevant factors. Results. We identified significant inequalities for the whole cohort and by subgroups (age and gender). Inequalities were higher among younger adults and gradually decreased with age, going from RII of 5.65 (95% confidence interval [CI] = 3.25, 9.82) in participants younger than 25 years to RII of 1.49 (95% CI = 1.41, 1.58) in those aged 65 years and older. Type of health insurance was the most important factor, accounting for 20% and 59% of the relative and absolute inequalities, respectively. Conclusions. Significant socioeconomic inequalities exist in COVID-19 mortality in Colombia. Health insurance appears to be the main contributor to those inequalities, posing challenges for the design of public health strategies. (Am J Public Health. 2022;112(S6):S586-S590. https://doi.org/10.2105/AJPH.2021.306637).

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Objectives: To quantify socioeconomic inequalities in COVID-19 mortality in Colombia and to assess the extent to which type of health insurance, comorbidity burden, area of residence, and ethnicity account for such inequalities. Methods: We analyzed data from a retrospective cohort of COVID-19 cases. We estimated the relative and slope indices of inequality (RII and SII) using survival models for all participants and stratified them by age and gender. We calculated the percentage reduction in RII and SII after adjustment for potentially relevant factors. Results: We identified significant inequalities for the whole cohort and by subgroups (age and gender). Inequalities were higher among younger adults and gradually decreased with age, going from RII of 5.65 (95% confidence interval [CI] = 3.25, 9.82) in participants younger than 25 years to RII of 1.49 (95% CI = 1.41, 1.58) in those aged 65 years and older. Type of health insurance was the most important factor, accounting for 20% and 59% of the relative and absolute inequalities, respectively. Conclusions: Significant socioeconomic inequalities exist in COVID-19 mortality in Colombia. Health insurance appears to be the main contributor to those inequalities, posing challenges for the design of public health strategies.

Objetivos: Quantificar as desigualdades socioeconômicas na mortalidade por COVID-19 na Colômbia e avaliar até que ponto o tipo de cobertura de assistência à saúde, a carga de comorbidades, o local de residência e a etnia contribuíram para tais desigualdades. Métodos: Analisamos dados de uma coorte retrospectiva de casos de COVID-19. Calculamos os índices relativo e angular de desigualdade (RII e SII, respectivamente) utilizando modelos de sobrevivência em todos os participantes, estratificando-os por idade e gênero. Calculamos o percentual de redução no RII e no SII após ajuste para fatores possivelmente relevantes. Resultados: Identificamos desigualdades significativas na coorte como um todo e por subgrupos (idade e gênero). As desigualdades foram maiores para adultos mais jovens e decaíram gradualmente com a idade, indo de um RII de 5,65 (intervalo de confiança [IC] de 95% = 3,25; 9,82] nos participantes com idade inferior a 25 anos a um RII de 1,49 [IC 95% = 1,41; 1,58] nas pessoas com 65 anos ou mais. O tipo de cobertura de assistência à saúde foi o fator mais importante, representando 20% e 59% das desigualdades relativa e absoluta, respectivamente. Conclusões: Desigualdades socioeconômicas significativas afetaram a mortalidade por COVID-19 na Colômbia. O tipo de cobertura de saúde parece ser o principal fator contribuinte para essas desigualdades, impondo desafios à elaboração de estratégias de saúde pública.

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[RESUMEN]. Objetivo. Cuantificar las desigualdades socioeconómicas en la mortalidad por COVID-19 en Colombia y evaluar en qué medida el tipo de seguro de salud, la carga de enfermedades concomitantes, la zona de residencia y el origen étnico explican estas desigualdades. Métodos. Se analizaron los datos de una cohorte retrospectiva de casos de COVID-19. Se estimó el índice relativo de desigualdad (IRD) y el índice de desigualdad basado en la pendiente (IDP) utilizando modelos de supervivencia con todos los participantes, y estratificándolos por edad y sexo. El porcentaje de reducción del IRD y el IDP se calculó después de ajustar con respecto a factores que podrían ser relevantes. Resultados. Se pusieron en evidencia desigualdades notables en toda la cohorte y en los subgrupos (edad y sexo). Las desigualdades fueron mayores en los adultos más jóvenes y disminuyeron de manera gradual con la edad, pasando de un IRD de 5,65 (intervalo de confianza de 95% [IC 95%] = 3,25-9,82) en los participan- tes menores de 25 años a un IRD de 1,49 (IC 95% = 1,41-1,58) en los mayores de 65 años. El tipo de seguro de salud fue el factor más importante, al cual se atribuyó 20% de las desigualdades relativas y 59% de las absolutas. Conclusiones. La mortalidad por COVID-19 en Colombia presenta importantes desigualdades socioeconó- micas. El seguro de salud aparece como el factor que más contribuye a estas desigualdades, lo cual plantea retos al diseño de las estrategias de salud pública.

[ABSTRACT]. Objectives. To quantify socioeconomic inequalities in COVID-19 mortality in Colombia and to assess the extent to which type of health insurance, comorbidity burden, area of residence, and ethnicity account for such inequalities. Methods. We analyzed data from a retrospective cohort of COVID-19 cases. We estimated the relative and slope indices of inequality (RII and SII) using survival models for all participants and stratified them by age and gender. We calculated the percentage reduction in RII and SII after adjustment for potentially relevant factors. Results. We identified significant inequalities for the whole cohort and by subgroups (age and gender). Inequalities were higher among younger adults and gradually decreased with age, going from RII of 5.65 (95% confidence interval [CI] = 3.25, 9.82) in participants younger than 25 years to RII of 1.49 (95% CI = 1.41, 1.58) in those aged 65 years and older. Type of health insurance was the most important factor, accounting for 20% and 59% of the relative and absolute inequalities, respectively. Conclusions. Significant socioeconomic inequalities exist in COVID-19 mortality in Colombia. Health insu- rance appears to be the main contributor to those inequalities, posing challenges for the design of public health strategies.

[RESUMO]. Objetivos. Quantificar as desigualdades socioeconômicas na mortalidade por COVID-19 na Colômbia e ava- liar até que ponto o tipo de cobertura de assistência à saúde, a carga de comorbidades, o local de residência e a etnia contribuíram para tais desigualdades. Métodos. Analisamos dados de uma coorte retrospectiva de casos de COVID-19. Calculamos os índices relativo e angular de desigualdade (RII e SII, respectivamente) utilizando modelos de sobrevivência em todos os participantes, estratificando-os por idade e gênero. Calculamos o percentual de redução no RII e no SII após ajuste para fatores possivelmente relevantes. Resultados. Identificamos desigualdades significativas na coorte como um todo e por subgrupos (idade e gênero). As desigualdades foram maiores para adultos mais jovens e decaíram gradualmente com a idade, indo de um RII de 5,65 (intervalo de confiança [IC] de 95% = 3,25; 9,82] nos participantes com idade inferior a 25 anos a um RII de 1,49 [IC 95% = 1,41; 1,58] nas pessoas com 65 anos ou mais. O tipo de cobertura de assistência à saúde foi o fator mais importante, representando 20% e 59% das desigualdades relativa e absoluta, respectivamente. Conclusões. Desigualdades socioeconômicas significativas afetaram a mortalidade por COVID-19 na Colômbia. O tipo de cobertura de saúde parece ser o principal fator contribuinte para essas desigualdades, impondo desafios à elaboração de estratégias de saúde pública.

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BACKGROUND: Only three literature reviews have assessed the impact of interventions on the reduction of racial inequities in general health to date; none has drawn from attempts at promoting racial oral health equity. This protocol aims to increase transparency and reduce the potential for bias of an ongoing systematic review conceived to answer the following questions: Are there any interventions to mitigate racial oral health inequities or improve the oral health of racially marginalized groups? If so, how successful have they been at promoting racial oral health equity? How do conclusions of previous reviews change by taking the findings of oral health interventions into account? METHODS: Reviewed studies must deploy interventions to reduce racial gaps or promote the oral health of groups oppressed along ancestral and/or cultural lines. We will analyze randomized clinical trials, natural experiments, pre-post studies, and observational investigations that emulate controlled experiments by assessing interactions between race and potentially health-enhancing interventions. Either clinically assessed or self-reported oral health outcomes will be considered by searching for original studies in MEDLINE, LILACS, PsycInfo, SciELO, Web of Science, Scopus, and Embase from their earliest records to March 2022. Upon examining abstracts of conference proceedings, trial registries, reports of related stakeholder organizations, as well as contacting researchers for unpublished data, we will identify studies in the grey literature. If possible, we will carry out a meta-analysis with subgroup and sensitivity analysis, including formal meta-regression, to address potential heterogeneity and inconsistency among selected studies. DISCUSSION: Conducting a systematic review of interventions to mitigate racial oral health inequities is crucial for determining which initiatives work best and under which conditions they succeed. Such knowledge will help consolidate an evidence base that may be used to inform policy and practice against persistent and pervasive racial inequities in general and oral health. SYSTEMATIC REVIEW REGISTRATION: This protocol has been registered at the International Prospective Register of Systematic Reviews, under the identification number CRD42021261450 .

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RESUMEN Objetivo. Cuantificar las desigualdades socioeconómicas en la mortalidad por COVID-19 en Colombia y evaluar en qué medida el tipo de seguro de salud, la carga de enfermedades concomitantes, la zona de residencia y el origen étnico explican estas desigualdades. Métodos. Se analizaron los datos de una cohorte retrospectiva de casos de COVID-19. Se estimó el índice relativo de desigualdad (IRD) y el índice de desigualdad basado en la pendiente (IDP) utilizando modelos de supervivencia con todos los participantes, y estratificándolos por edad y sexo. El porcentaje de reducción del IRD y el IDP se calculó después de ajustar con respecto a factores que podrían ser relevantes. Resultados. Se pusieron en evidencia desigualdades notables en toda la cohorte y en los subgrupos (edad y sexo). Las desigualdades fueron mayores en los adultos más jóvenes y disminuyeron de manera gradual con la edad, pasando de un IRD de 5,65 (intervalo de confianza de 95% [IC 95%] = 3,25-9,82) en los participantes menores de 25 años a un IRD de 1,49 (IC 95% = 1,41-1,58) en los mayores de 65 años. El tipo de seguro de salud fue el factor más importante, al cual se atribuyó 20% de las desigualdades relativas y 59% de las absolutas. Conclusiones. La mortalidad por COVID-19 en Colombia presenta importantes desigualdades socioeconómicas. El seguro de salud aparece como el factor que más contribuye a estas desigualdades, lo cual plantea retos al diseño de las estrategias de salud pública.

ABSTRACT Objectives. To quantify socioeconomic inequalities in COVID-19 mortality in Colombia and to assess the extent to which type of health insurance, comorbidity burden, area of residence, and ethnicity account for such inequalities. Methods. We analyzed data from a retrospective cohort of COVID-19 cases. We estimated the relative and slope indices of inequality (RII and SII) using survival models for all participants and stratified them by age and gender. We calculated the percentage reduction in RII and SII after adjustment for potentially relevant factors. Results. We identified significant inequalities for the whole cohort and by subgroups (age and gender). Inequalities were higher among younger adults and gradually decreased with age, going from RII of 5.65 (95% confidence interval [CI] = 3.25, 9.82) in participants younger than 25 years to RII of 1.49 (95% CI = 1.41, 1.58) in those aged 65 years and older. Type of health insurance was the most important factor, accounting for 20% and 59% of the relative and absolute inequalities, respectively. Conclusions. Significant socioeconomic inequalities exist in COVID-19 mortality in Colombia. Health insurance appears to be the main contributor to those inequalities, posing challenges for the design of public health strategies.

RESUMO Objetivos. Quantificar as desigualdades socioeconômicas na mortalidade por COVID-19 na Colômbia e avaliar até que ponto o tipo de cobertura de assistência à saúde, a carga de comorbidades, o local de residência e a etnia contribuíram para tais desigualdades. Métodos. Analisamos dados de uma coorte retrospectiva de casos de COVID-19. Calculamos os índices relativo e angular de desigualdade (RII e SII, respectivamente) utilizando modelos de sobrevivência em todos os participantes, estratificando-os por idade e gênero. Calculamos o percentual de redução no RII e no SII após ajuste para fatores possivelmente relevantes. Resultados. Identificamos desigualdades significativas na coorte como um todo e por subgrupos (idade e gênero). As desigualdades foram maiores para adultos mais jovens e decaíram gradualmente com a idade, indo de um RII de 5,65 (intervalo de confiança [IC] de 95% = 3,25; 9,82] nos participantes com idade inferior a 25 anos a um RII de 1,49 [IC 95% = 1,41; 1,58] nas pessoas com 65 anos ou mais. O tipo de cobertura de assistência à saúde foi o fator mais importante, representando 20% e 59% das desigualdades relativa e absoluta, respectivamente. Conclusões. Desigualdades socioeconômicas significativas afetaram a mortalidade por COVID-19 na Colômbia. O tipo de cobertura de saúde parece ser o principal fator contribuinte para essas desigualdades, impondo desafios à elaboração de estratégias de saúde pública.

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OBJECTIVE: To examine socioeconomic inequalities in birth outcomes among infants born between 2008 and 2018 and assessed trends in inequalities during that period in Colombia, a middle-income country with high levels of inequality emerging from a long internal armed conflict. METHODS: Using birth certificate data in Colombia, we analysed the outcomes of low birth weight, an Apgar score <7 at 5 minutes after birth and the number of prenatal visits among full-term pregnancies. Maternal education and health insurance schemes were used as socioeconomic position (SEP) indicators. Inequalities were estimated using the prevalence/mean of the outcomes across categories of the SEP indicators and calculating the relative and slope indices of inequality (RII and SII, respectively). RESULTS: Among the 5,433,265 full-term singleton births analysed, there was a slight improvement in the outcomes analysed over the study period (lower low-birth-weight and Apgar<7 prevalence rates and higher number of prenatal visits). We observed a general pattern of social gradients and significant relative (RII) and absolute (SII) inequalities for all outcomes across both SEP indicators. RII and SII estimates with their corresponding CIs revealed a general picture of no significant changes in inequalities over time, with some particular, time-dependent exceptions. When comparing the initial and final years of our study period, inequalities in low birth weight related to maternal education increased while those in Apgar score <7 decreased. Relative inequalities across health insurance schemes increased for the two birth outcomes but decreased for the number of prenatal visits. CONCLUSION: The lack of a consistent improvement in the magnitude of inequalities in birth outcomes over an 11-year period is a worrying issue because it could aggravate the cycle of inequality, given the influence of birth outcomes on health, social and economic outcomes throughout the life course. The findings of our analysis emphasize the importance of policies aimed at providing access to quality education and providing a health care system with universal coverage and high levels of integration.

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BACKGROUND: While inequalities in oral health are documented, little is known about the extent to which they are attributable to potentially modifiable factors. We examined the role of behavioural and dental attendance pathways in explaining oral health inequalities among adults in England, Wales and Northern Ireland. METHODS: Using nationally representative data, we analysed inequalities in self-rated oral health and number of natural teeth. Highest educational attainment, equivalised household income and occupational social class were used to derive a latent socioeconomic position (SEP) variable. Pathways were dental attendance and behaviours (smoking and oral hygiene). We used structural equation modelling to test the hypothesis that SEP influences oral health directly and also indirectly via dental attendance and behavioural pathways. RESULTS: Lower SEP was directly associated with fewer natural teeth and worse self-rated oral health (standardised path coefficients, -0.21 (SE=0.01) and -0.10 (SE=0.01), respectively). We also found significant indirect effects via behavioural factors for both outcomes and via dental attendance primarily for self-rated oral health. While the standardised parameters of total effects were similar between the two outcomes, for number of teeth, the estimated effect of SEP was mostly direct while for self-rated oral health, it was almost equally split between direct and indirect effects. CONCLUSION: Reducing inequalities in dental attendance and health behaviours is necessary but not sufficient to tackle socioeconomic inequalities in oral health.

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Little is known about the health of infants born Venezuelan refugee women in Colombia. Using birth certificate data, we compared birth weight, gestational age, and Apgar scores between births to Venezuelan refugee women and Colombian women in 2016-2018 using logistic regression. We also compared number of prenatal visits and health insurance coverage. Infants born to Venezuelan refugee women were more likely to be preterm (OR=1.14 [95%CI:1.07,1.23]), extremely preterm (OR=1.71 [95%CI:1.19,2.46]), low birth weight (OR=1.30 [95%CI:1.18,1.42]), and very low birth weight (OR =1.80 [95%CI:1.45,2.23]) than infants born to Colombian women. There were no differences in Apgar scores. Most Venezuelan refugee women had no health insurance, and number of prenatal visits was half that of Colombian women. Pregnant Venezuelan refugee women face health care barriers and have worse birth outcomes than Colombian women, highlighting the need to further address health care and other socioeconomic barriers for this vulnerable population.

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OBJECTIVES: To examine the association between changes in contextual economic factors on childhood obesity in the US. METHODS: We combined data from 2003, 2007, and 2011/2012 National Surveys of Children's Health for 129,781 children aged 10-17 with 27 state-level variables capturing general economic conditions, labor supply, and the monetary or time costs of calorie intake, physical activity, and cigarette smoking. We employed regression models controlling for demographic factors and state and year fixed effects. We also examined heterogeneity in economic effects by household income. RESULTS: Obesity risk increased with workforce proportion in blue-collar occupations, urban sprawl, female labor force participation, and number of convenience stores but declined with median household income, smoking ban in restaurants, and full service restaurants per capita. Most effects were specific to low income households, except for density of supercenters/warehouse clubs which was significantly associated with higher overweight/obesity risk only in higher income households. CONCLUSIONS FOR PRACTICE: Changes in state-level economic factors related to labor supply and monetary or time cost of calorie intake may affect childhood obesity especially for children in low-income households. Policymakers should consider these effects when designing programs aimed at reducing childhood obesity.

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BACKGROUND: Health inequalities, including inequalities in oral health, are problems of social injustice worldwide. Evidence on this issue from low-income and middle-income countries is still needed. We aimed to examine the relationship between oral health and different dimensions of socioeconomic position (SEP) in Colombia, a very unequal society emerging from a long-lasting internal armed conflict. METHODS: Using data from the last Colombian Oral Health Survey (2014), we analysed inequalities in severe untreated caries (≥3 teeth), edentulousness (total tooth loss) and number of missing teeth. Inequalities by education, income, area-level SEP and health insurance scheme were estimated by the relative index of inequality and slope index of inequality (RII and SII, respectively). RESULTS: A general pattern of social gradients was observed and significant inequalities for all outcomes and SEP indicators were identified with RII and SII. Relative inequalities were larger for decay by health insurance scheme, with worse decay levels among the uninsured (RII: 2.57; 95% CI 2.11 to 3.13), and in edentulousness (RII: 3.23; 95% CI 1.88 to 5.55) and number of missing teeth (RII: 2.08; 95% CI 1.86 to 2.33) by education, with worse levels of these outcomes among the lower educated groups. Absolute inequalities followed the same pattern. Inequalities were larger in urban areas. CONCLUSION: Health insurance and education appear to be the main contributors to oral health inequalities in Colombia, posing challenges for designing public health strategies and social policies. Tackling health inequalities is crucial for a fairer society in a Colombian post-conflict era and our findings highlight the importance of investing in education policies and universal health care coverage.

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OBJECTIVES: To study socioeconomic inequalities in mental health in rural and urban Colombia, a country with a history of internal conflict and large socioeconomic inequalities. Recent survey data are available to study this understudied topic in a middle-income country. METHODS: Using data from 9656 respondents from the 2015 Colombian Mental Health survey, we investigated the association between lifetime prevalence of depressive and anxiety disorders and quality of dwellings and access to public services housing score (HS). We calculated the relative index of inequality (RII) and slope index of inequality (SII) for HS in urban and rural areas, adjusting for potential confounders and mediating factors. OUTCOMES: The lifetime prevalence of anxiety and depression (combined) was 9.6% in urban versus 6.9% in rural areas (p<0.001). HS was not associated with prevalence of anxiety and depression in urban settings, whereas a higher HS (poorer housing quality) was associated with fewer mental disorders in rural areas in both univariate and multivariate models (multivariate RIIurban0.96 (95% CI 0.51 to 1.81); RIIrural0.11 (95% CI 0.04 to 0.32)). In rural areas, the prevalence of mental health problems was 12% points lower in persons living in the poorest quality dwellings than in those living in high-quality dwellings (SII -0.12 (95% CI -0.18 to -0.06)). Interestingly, within rural areas, persons living in 'populated centres' (small towns, villages) had a higher lifetime prevalence of any mental health disorder (9.8% (95% CI 6.9 to 13.6)) compared with those living in more isolated, dispersed areas (6.0% (95% CI 4.6 to 7.7)). INTERPRETATION: In rural Colombia, those living in the poorest houses and in dispersed areas had a lower prevalence of mental health problems. Further understanding of this phenomenon of a seemingly inverse association of prevalence of mental disorders with poverty and/or urbanisation in rural areas is needed. Particularly, considering the progressive urbanisation process in Colombia, it is important to monitor mental health in populations migrating to the cities.

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OBJECTIVE: To compare oral health in the US and England and to assess levels of educational and income related oral health inequalities between both countries. DESIGN: Cross sectional analysis of US and English national surveys. SETTING: Non-institutionalised adults living in their own homes. PARTICIPANTS: Oral health measures and socioeconomic indicators were assessed in nationally representative samples: the Adult Dental Health Survey 2009 for England, and the US National Health and Nutrition Examination Survey 2005-08. Adults aged ≥25 years were included in analyses with samples of 8719 (England) and 9786 (US) for analyses by education, and 7184 (England) and 9094 (US) for analyses by income. MAIN OUTCOME MEASURES: Number of missing teeth, self rated oral health, and oral impacts on daily life were outcomes. Educational attainment and household income were used as socioeconomic indicators. Age standardised estimates of oral health were compared between countries and across educational and income groups. Regression models were fitted, and relative and absolute inequalities were measured using the relative index of inequality (RII) and the slope index of inequality (SII). RESULTS: The mean number of missing teeth was significantly higher in the US (7.31 (standard error 0.15)) than in England (6.97 (0.09)), while oral impacts were higher in England. There was evidence of significant social gradients in oral health in both countries, although differences in oral health by socioeconomic position varied according to the oral health measure used. Consistently higher RII and SII values were found in the US than in England, particularly for self rated oral health. RII estimates for self rated oral health by education were 3.67 (95% confidence interval 3.23 to 4.17) in the US and 1.83 (1.59 to 2.11) in England. In turn, SII values were 42.55 (38.14 to 46.96) in the US and 18.43 (14.01 to 22.85) in England. CONCLUSIONS: The oral health of US citizens is not better than the English, and there are consistently wider educational and income oral health inequalities in the US compared with England.

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OBJECTIVE: Very few studies have analysed the relationship between political factors and oral health inequalities, and only one study has compared the magnitude of inequalities in oral health-related quality of life (OHRQoL) across welfare state regimes. This study aimed to compare socioeconomic inequalities in oral impacts on daily life among 21 European countries with different welfare state regimes (Scandinavian, Anglo-Saxon, Bismarckian, Southern, and Eastern). METHODS: We analysed data from the Eurobarometer 72.3, a survey carried out in 2009 among adults in European countries. Inequalities in oral impacts by education, occupational social class and subjective social status (SSS) were estimated by means of age-standardized prevalence rates, odds ratios (ORs), the relative index of inequality (RII) and the slope index of inequality (SII). RESULTS: Educational inequalities in the form of social gradients were observed in all welfare regimes. The Scandinavian and Southern welfare regimes also showed gradients for all SEP measures. There were not significant differences in the magnitude of relative inequalities (RII) across welfare state regimes. Absolute educational inequalities were largest in the Anglo-Saxon welfare regime (SII = 17.57; 95% CI: 7.80-27.33) and smallest in the Bismarckian (SII = 3.32; 95% CI: -2.18 to 8.83). CONCLUSIONS: A significant difference in the magnitude of inequalities across welfare regimes was found for absolute educational inequalities but not for relative inequalities. Welfare state regimes may influence the relationship between knowledge-related resources and oral impacts on daily life.

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OBJECTIVES: Describing differences in years of life lost (LLY) regarding life expectancy at birth in Colombia amongst Departments during the study period. METHODS: Data about life expectancy at birth by gender were taken from the Colombian Statistics Administration Department (DAÑE) databases for 1985-1990, 1995-2000 and 2000-2005. Data about the country having the best world health expectancy value was taken from World Health Organisation reports. LLY regarding life expectancy at birth (LEB) were estimated with relative differences between regional values and the best world value for the study periods. RESULTS: LLY tended to become reduced for both genders throughout the whole study period; however, LLY was higher for women than men in some departments during the three periods. The worst LLY quintile for 1985-1990 was 18.98+/-2.36 mean LLY value for men and 18.45+/-2.43 for women. Mean LLY value for men was 16.99+/-1.7 and 16.01+71.46 for women for 1995-2000 and mean 15.99+/-1.34 LLY for men and 14.51+/-0.96 LLY for women for 2000-2005. LLY values for the best quintile for men and women were 7.41+/-0.65; 8.34+/-0.65 in 1985-1990, 7.22+/-0.62 and 8.59+/-0.31 in 1995-2000 and 7.72+/0.58 and 8.89+/-0.67 in 2000-2005, respectively. CONCLUSIONS: There were differences in life expectancy at birth between departments and gender during the three periods studied. There was disparity regarding LLY compared to the best country in the world by department and gender in Colombia during the study periods.

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Objetivo Describir las diferencias en los años de vida perdidos en la expectativa de vida al nacer por Departamentos en Colombia, durante el periodo de estudio. Métodos Los datos sobre expectativa de vida al nacer por género, fueron tomados del Departamento Administrativo Nacional de Estadística (DAÑE) para los periodos: 1985-1990, 1995-2000 y 2000-2005. Los datos sobre el país con la mejor expectativa de vida en el mundo fue tomado de los reportes de la Organización Mundial de la Salud. Los años de vida perdidos en expectativa de vida (AVPP) fueron estimados a partir de las diferencias relativas entre valores regionales y los mejores valores del mundo para los periodos de estudio. Resultados El número de AVPP tuvo una tendencia a disminuir en ambos géneros durante el periodo de estudio. Sin embargo hubo Departamentos en los cuales los AVPP fueron mayores para mujeres que para hombres en los tres periodos. Adicionalmente, el peor quintil de AVPP tuvo un valor medio de 18,98 ±2,36 AVPP para hombres y 18,45+/-2,43 AVPP para mujeres en 1985-1990; 16,99+/-1,7 AVPP para hombres y 16,01+/1,46 para mujeres en 1995-2000; y 15,99+/-1,34 AVPP para hombres y 14,51 +/-0,96 AVPP para mujeres en 2000-2005. Los valores para el mejor quintil de AVPP fueron respectivamente para hombres y mujeres: 7,41+/-0,65; 8,34+/-0,65 en 1985-1990; 7,22+/-0,62 y 8,59+/-0,31 en 1995-2000; y 7,72+/ 0,58 y 8,89+/-0,67 en 2000-2005. Conclusiones Hubo diferencias en la expectativa de vida al nacer entre Departamentos y géneros en los tres periodos estudiados. Hubo disparidad en el numero de AVPP, comparando con el mejor país en el mundo, por Departamentos, durante los periodos de estudio.

Objectives Describing differences in years of life lost (LLY) regarding life expectancy at birth in Colombia amongst Departments during the study period. Methods Data about life expectancy at birth by gender were taken from the Colombian Statistics Administration Department (DAÑE) databases for 1985-1990, 1995-2000 and 2000-2005. Data about the country having the best world health expectancy value was taken from World Health Organisation Reports. LLY regarding life expectancy at birth (LEB) were estimated with relative differences between regional values and the best world value for the study periods. Results LLY tended to become reduced for both genders throughout the whole study period; however, LLY was higher for women than men in some departments during the three periods. The worst LLY quintile for 1985-1990 was 18.98+/-2.36 mean LLY value for men and 18.45+/-2.43 for women. Mean LLY value for men was 16.99+/-1.7 and 16.01+71.46 for women for 1995-2000 and mean 15.99+/-1.34 LLY for men and 14.51+/-0.96 LLY for women for 2000-2005. LLY values for the best quintile for men and women were 7.41+/-0.65; 8.34+/-0.65 in 1985-1990, 7.22+/-0.62 and 8.59+/-0.31 in 1995-2000 and 7.72+/0.58 and 8.89+/-0.67 in 2000-2005, respectively. Conclusions There were differences in life expectancy at birth between departments and gender during the three periods studied. There was disparity regarding LLY compared to the best country in the world by department and gender in Colombia during the study periods.

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