OBJECTIVE To examine cross sectional and longitudinal associations of socioeconomic position and neighborhood environments with BMI in a middle-aged and bi-ethnic cohort. RESEARCH METHODS AND PROCEDURES Analyses were based on 13,167 subjects (45 to 64 years) who participated in the Atherosclerosis Risk in Communities Study, a population-based study. Census block groups were used as proxies fo...

We develop a new methodology to compute differences in the expected longevity of individuals who are in different socioeconomic groups at age 50. We deal with two main problems associated with the standard use of life expectancy: that people’s socioeconomic characteristics evolve over time and that there is a time trend that reduces mortality over time. Using HRS data for individuals from diffe...

OBJECTIVES Socioeconomic status has been shown to be associated with sexual activity, contraceptive-use, pregnancy and abortion among young people. Less is known about whether the strength of the association differs for each outcome, between men and women, or cross-nationally. We investigate this using contemporaneous national probability survey data from Britain and France. METHODS Data were...

BACKGROUND An economic crisis can widen health inequalities between individuals. The aim of this paper is to explore differences in the effect of socioeconomic characteristics on Spaniards' self-assessed health status, depending on the Spanish economic situation. METHODS Data from the 2006-2007 and 2011-2012 National Health Surveys were used and binary logit and probit models were estimated t...

INTRODUCTION Like other biological phenomena, menstrual characteristics also vary with different age groups, socioeconomic status, and lifestyles. This study aimed to find out the variation in the menstrual characteristics among adolescents of different age groups, and the significant predictors of a menstrual outcome. METHODS 260 adolescent Bengali-speaking Hindu girls of three different age...

The main objectives of this study were to determine the geographic distribution of low birthweight rates in London. Ontario and to identify small areas within the city that have low birthweight rates not adequately explained by the areas' socioeconomic characteristics. The following socioeconomic variables were used in a weighted, ecological, multiple regression analysis; % unwed mothers, % tee...