The burden and epidemiology of hepatitis B and hepatitis D in Georgia: findings from the national seroprevalence survey.

OBJECTIVES: The burden of hepatitis B virus (HBV) and hepatitis D virus (HDV) infections is unknown in Georgia. This analysis describes the prevalence of hepatitis B and coinfection with HDV and the demographic characteristics and risk factors for persons with HBV infection in Georgia. STUDY DESIGN: This is a cross-sectional seroprevalence study. METHODS: A cross-sectional, nationwide survey to assess hepatitis B prevalence among the general adult Georgian population (age ≥18 years) was conducted in 2015. Demographic and risk behavior data were collected. Blood specimens were screened for anti-hepatitis B core total antibody (anti-HBc). Anti-HBc-positive specimens were tested for hepatitis B surface antigen (HBsAg). HBsAg-positive specimens were tested for HBV and HDV nucleic acid. Nationally weighted prevalence estimates and adjusted odds ratios (aORs) for potential risk factors were determined for anti-HBc and HBsAg positivity. RESULTS: The national prevalence of anti-HBc and HBsAg positivity among adults were 25.9% and 2.9%, respectively. Persons aged ≥70 years had the highest anti-HBc positivity (32.7%), but the lowest HBsAg positivity prevalence (1.3%). Anti-HBc positivity was associated with injection drug use (aOR = 2.34; 95% confidence interval [CI] = 1.46-3.74), receipt of a blood transfusion (aOR = 1.68; 95% CI = 1.32-2.15), and sex with a commercial sex worker (aOR = 1.46; 95% CI = 1.06-2.01). HBsAg positivity was associated with receipt of a blood transfusion (aOR = 2.72; 95% CI = 1.54-4.80) and past incarceration (aOR = 2.72; 95% CI = 1.25-5.93). Among HBsAg-positive persons, 0.9% (95% CI = 0.0-2.0) were HDV coinfected. CONCLUSIONS: Georgia has an intermediate to high burden of hepatitis B, and the prevalence of HDV coinfection among HBV-infected persons is low. Existing infrastructure for hepatitis C elimination could be leveraged to promote hepatitis B elimination.

Health disparities between Muslim and non-Muslim countries.

We examined differences in health indicators and associated factors across countries according to the proportion of the population who are Muslim. Of 190 UN countries, 48 were classified as Muslim-majority countries (MMC) and 142 as non-MMC. Data on 41 potential determinants of health were obtained from 10 different data sources, and 4 primary outcome measures (male and female life expectancy, maternal mortality ratio and infant mortality rate) were analysed. Annual per capita expenditure on health in MMC was one-fifth that of non-MMC. Maternal mortality and infant mortality rates were twice as high in MMC as non-MMC. Adult literacy rate was significantly higher for non-MMC. Four significant predictors explained 52%-72% of the differences in health outcomes between the 2 groups: gross national income, literacy rate, access to clean water and level of corruption.

Effect of oral and injectable contraceptives on serum calcium, magnesium and phosphorus in women.

BACKGROUND: This study aims at evaluating serum calcium, magnesium and phosphorus levels in women taking oral and injectable contraceptives. METHODS: Serum calcium, magnesium and phosphorus were measured in 50 women taking oral contraceptives (Lofeminal) and 50 women taking injectable contraceptive (Depo-medroxy progesterone acetate and Norigest). These women were used as controls before starting these contraceptives. RESULTS: There was significant decrease in serum levels of calcium, magnesium and phosphorus in women taking oral contraceptives but there was significant increase in these minerals in women taking injectable contraceptives. CONCLUSIONS: It is suggested that these contraceptives should be used with due care and with proper investigations of the women before and during the therapy.

Health disparities between Muslim and non-Muslim countries

We examined differences in health indicators and associated factors across countries according to the proportion of the population who are Muslim. Of 190 UN countries, 48 were classified as Muslim-majority countries [MMC] and 142 as non-MMC. Data on 41 potential determinants of health were obtained from 10 different data sources, and 4 primary outcome measures [male and female life expectancy, maternal mortality ratio and infant mortality rate] were analysed. Annual per capita expenditure on health in MMC was one-fifth that of non-MMC. Maternal mortality and infant mortality rates were twice as high in MMC as non-MMC. Adult literacy rate was significantly higher for non-MMC. Four significant predictors explained 52%-72% of the differences in health outcomes between the 2 groups: gross national income, literacy rate, access to clean water and level of corruption