Education-Related Inequalities in Dental Services Use among Older Adults in 23 Countries.

This study aimed to measure the magnitude of education-related inequalities in the use of dental services among older adults (aged 50 y or older) from a sizable multicountry sample of 23 upper-middle- and high-income countries. This study used cross-sectional data from nationally representative surveys of people aged 50 y and over. Countries included in the Health and Retirement Study surveys were the following: Brazil, China, South Korea, Mexico, United States, Austria, Belgium, Croatia, Czech Republic, Denmark, Estonia, France, Germany, Greece, Italy, Israel, Luxembourg, Poland, Portugal, Slovenia, Spain, Sweden, and Switzerland. The dependent variable was the use of dental services, based on the self-report of having had a dental visit within the previous year, except for the United States and South Korea, which used 2-y recall periods. Educational level was used as the measure of socioeconomic position and was standardized across countries. Multivariate logistic regression modeling was used to evaluate the factors associated with the use of dental services, and the magnitude of education inequalities in the use of dental services was assessed using the slope index of inequality (SII) to measure absolute inequalities and the relative index of inequality for relative inequalities. The pooled prevalence of the use of dental services was 31.7% and ranged from 18.7% in China to 81.2% in Sweden. In the overall sample, the absolute difference in the prevalence of use between the lowest and highest educational groups was 20 percentage points. SII was significant for all countries except Portugal. Relative educational inequalities were significant for all countries and ranged from 3.2 in Poland to 1.2 in Sweden. There were significant education-related inequalities in the use of dental care by older adults in all countries. Monitoring these inequalities is critical to the planning and delivery of dental services.

Historical Expansion of Kyasanur Forest Disease in India From 1957 to 2017: A Retrospective Analysis.

A highly infectious tick-borne virus causes Kyasanur Forest disease (KFD), which has been expanding in recent decades in India. Current studies do not provide an updated understanding of the disease trends and its expansion in India. We address this gap in the literature through a detailed review to reveal the annual historic expansion of KFD cases across the span of years from 1957 to 2017. In addition, we explore the factors that may have led to the geographic expansion of KFD. The annual numbers of cases of KFD among humans are estimated using peer-reviewed journal articles, Pro-MED database, historical and archived newspapers, and government reports, technical reports, publications, and medical websites. From 1957 to 2017, there were an estimated 9,594 cases of KFD within 16 districts in India. The most significant human outbreaks of the disease were in the years 1957-1958 (681 cases), 1983-1984 (2,589 cases), 2002-2003 (1,562 cases), and 2016-2017 (809 cases). In 2015, KFD appeared in Goa. In 2016, new cases emerged in Belgaum, a district in Karnataka state, and in the Sindhudurg district in Maharashtra state. The processes by which KFD persists and spreads are not clear, but demographic, socioeconomic, political, and environmental factors seem to play a role.

One-year follow-up changes in weight are associated with changes in blood pressure in young Mexican adults.

OBJECTIVE: Increasing overweight and obesity rates in Mexico have been associated with increases in mortality from cardiovascular disease (CVD). This study assessed changes in body mass index (BMI) and body weight over 1 year, and explored whether these were associated with changes in CVD risk factors of blood pressure and fasting glucose in a cohort of young Mexican adults. STUDY DESIGN: Longitudinal data were obtained from a cohort of young Mexican adults applying to college. METHODS: Data were collected from college applicants for the 2008 academic year who re-applied in 2009. In total, 795 college applicants aged 18-20 years, of both sexes (48% males and 52% females), were included in the study. The screen included height, weight, and systolic (SBP) and diastolic (DBP) blood pressure measurements plus a blood draw following an overnight fast for fasting glucose. RESULTS: At baseline, 31.8% of the participants were overweight or obese. The mean 1-year change in body weight and BMI were 0.80 kg and 0.35 kg/m(2), respectively. One-year changes in body weight and BMI were associated with increased SBP and DBP for both men and women (P < 0.05), independent of baseline BMI. A weight gain of 5% or more was positively associated with increases in blood pressure among women (P < 0.05), but not among men. A weight loss of 5% or more was associated with reductions in SBP among women. CONCLUSIONS: One-year changes in weight were associated with changes in blood pressure.